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Journal articles on the topic 'Fingerprints'
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1
Varmarken, Janus, Jad Al Aaraj, Rahmadi Trimananda, and Athina Markopoulou. "FingerprinTV: Fingerprinting Smart TV Apps." Proceedings on Privacy Enhancing Technologies 2022, no. 3 (July 2022): 606–29. http://dx.doi.org/10.56553/popets-2022-0088.
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This paper proposes FingerprinTV, a fully automated methodology for extracting fingerprints from the network traffic of smart TV apps and assessing their performance. FingerprinTV (1) installs, repeatedly launches, and collects network traffic from smart TV apps; (2) extracts three different types of network fingerprints for each app, i.e., domain-based fingerprints (DBF), packet-pair-based fingerprints (PBF), and TLS-based fingerprints (TBF); and (3) analyzes the extracted fingerprints in terms of their prevalence, distinctiveness, and sizes. From applying FingerprinTV to the top-1000 apps of the three most popular smart TV platforms, we find that smart TV app network fingerprinting is feasible and effective: even the least prevalent type of fingerprint manifests itself in at least 68% of apps of each platform, and up to 89% of fingerprints uniquely identify a specific app when two fingerprinting techniques are used together. By analyzing apps that exhibit identical fingerprints, we find that these apps often stem from the same developer or “no code” app generation toolkit. Furthermore, we show that many apps that are present on all three platforms exhibit platformspecific fingerprints.
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Poorani Thiruvengadasamy Rajendran, Ramya Chinniah, and Ramya Manohar. "Thermal Manipulation of Latent Fingerprints using Cyanoacrylate Fuming with Rare Earth Material." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 110, no. 2 (December 15, 2023): 1–13. http://dx.doi.org/10.37934/arfmts.110.2.113.
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Latent fingerprints are used to identify specific individuals during a forensic investigation. Fingerprints provide a clear and concise means of identifying an individual and their history. Traditional techniques for fingerprint analysis include metal powder and magnetic powder dusting; fluorescent dye staining; iodine fuming; vacuum metal deposition and many more. There are several issues with the conventional technologies now in use, including their sensitivity, contrast, background interference, toxicity and complexity. In this study, the cyanoacrylate fuming technique was combined with enhancing agents such as metallic and rare earth minerals to increase the visibility of latent fingerprints in a quick and easy approach. The vapours of ethyl 2-cyanoacrylate react with the fingerprint's natural compounds, increasing the contrast of the impression. Therefore, fingerprints are visible to the human eye after being treated with cyanoacrylate. Rare earth europium oxide was also used to improve the fingerprints. The fingerprints were sprayed with a mixture of europium oxide. Images of the fingerprint samples were taken and they were evaluated. Cyanoacrylate treatment and europium oxide deposition both enhanced the visibility of fingerprints. In contrast to the cyanoacrylate-treated sample, the europium oxide-deposited specimen stood out more clearly. Hence, rare earth elements improved the visibility of hidden fingerprints.
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Cubeta, M. A., B. R. Cody, Y. Kohli, and L. M. Kohn. "Clonality in Sclerotinia sclerotiorum on Infected Cabbage in Eastern North Carolina." Phytopathology® 87, no. 10 (October 1997): 1000–1004. http://dx.doi.org/10.1094/phyto.1997.87.10.1000.
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Eighty-four isolates of Sclerotinia sclerotiorum from four cabbage production fields in North Carolina and 16 isolates from an experimental cabbage field plot in Louisiana were DNA-fingerprinted and tested for mycelial compatibility. In a comparison with 594 unique DNA fingerprints of S. sclerotiorum from Canadian canola, no fingerprints were shared among Canadian, North Carolina, and Louisiana populations. DNA fingerprints from the North Carolina sample were distinctive from those of the Canadian and Louisiana samples, with significantly more hybridizing fragments in the 7.7- to 18-kilobase range. Forty-one mycelial compatibility groups (MCGs) and 50 unique DNA fingerprints were identified from the North Carolina sample. Three MCGs and three fingerprints were identified from the Louisiana sample. From the North Carolina sample, 32 MCGs were each associated with a unique fingerprint; of these, there were 11 clones (i.e., cases in which two or more isolates belonged to the same MCG and shared the same DNA fingerprint). Six clones sampled from two or more fields represented approximately 29% of the total sample (24 of 84 isolates), with six clones recovered from fields 75 km apart. There were 10 cases in which one MCG was associated with more than one DNA fingerprint and two cases in which one DNA fingerprint was associated with more than one MCG. The small sample from Louisiana was strictly clonal. The North Carolina sample had a clonal component, but deviated from one-to-one association of MCG with DNA fingerprint to an extent consistent with more recombination or transposition than the other two populations sampled.
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Mao, Wenhui, Yadong Zhao, Petro Pavlenko, Yihan Chen, and Xuezhi Shi. "Innovative Solutions for Worn Fingerprints: A Comparative Analysis of Traditional Fingerprint Impression and 3D Printing." Sensors 24, no. 8 (April 20, 2024): 2627. http://dx.doi.org/10.3390/s24082627.
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Fingerprint recognition systems have achieved widespread integration into various technological devices, including cell phones, computers, door locks, and time attendance machines. Nevertheless, individuals with worn fingerprints encounter challenges when attempting to unlock original fingerprint systems, which results in disruptions to their daily activities. This study explores two distinct methods for fingerprint backup: traditional fingerprint impression and 3D printing technologies. Unlocking tests were conducted on commonly available optical fingerprint lock-equipped cell phones to assess the efficacy of these methods, particularly in unlocking with worn fingerprints. The research findings indicated that the traditional fingerprint impression method exhibited high fidelity in reproducing fingerprint patterns, achieving an impressive unlocking success rate of 97.8% for imprinting unworn fingerprints. However, when dealing with worn fingerprints, the traditional fingerprint impression technique showed a reduced unlocking success rate, progressively decreasing with increasing degrees of finger wear. In contrast, 3D-printed backup fingerprints, with image processing and optimization of ridge height, mitigated the impact of fingerprint wear on the unlocking capability, resulting in an unlocking success rate of 84.4% or higher. Thus, the utilization of 3D printing technology proves advantageous for individuals with severely worn or incomplete fingerprints, providing a viable solution for unforeseen circumstances.
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Lee, Youn Kyu, Jongwook Jeong, and Dongwoo Kang. "An Effective Orchestration for Fingerprint Presentation Attack Detection." Electronics 11, no. 16 (August 11, 2022): 2515. http://dx.doi.org/10.3390/electronics11162515.
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Fingerprint presentation attack detection has become significant due to a wide-spread usage of fingerprint authentication systems. Well-replicated fingerprints easily spoof the authentication systems because their captured images do not differ from those of genuine fingerprints in general. While a number of techniques have focused on fingerprint presentation attack detection, they suffer from inaccuracy in determining the liveness of fingerprints and performance degradation on unknown types of fingerprints. To address existing limitations, we present a robust fingerprint presentation attack detection method that orchestrates different types of neural networks by incorporating a triangular normalization method. Our method has been evaluated on a public benchmark comprising 13,000 images with five different fake materials. The evaluation exhibited our method’s higher accuracy in determining the liveness of fingerprints as well as better generalization performance on different types of fingerprints compared to existing techniques.
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Yoon, Soweon, and Anil K. Jain. "Longitudinal study of fingerprint recognition." Proceedings of the National Academy of Sciences 112, no. 28 (June 29, 2015): 8555–60. http://dx.doi.org/10.1073/pnas.1410272112.
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Human identification by fingerprints is based on the fundamental premise that ridge patterns from distinct fingers are different (uniqueness) and a fingerprint pattern does not change over time (persistence). Although the uniqueness of fingerprints has been investigated by developing statistical models to estimate the probability of error in comparing two random samples of fingerprints, the persistence of fingerprints has remained a general belief based on only a few case studies. In this study, fingerprint match (similarity) scores are analyzed by multilevel statistical models with covariates such as time interval between two fingerprints in comparison, subject’s age, and fingerprint image quality. Longitudinal fingerprint records of 15,597 subjects are sampled from an operational fingerprint database such that each individual has at least five 10-print records over a minimum time span of 5 y. In regard to the persistence of fingerprints, the longitudinal analysis on a single (right index) finger demonstrates that (i) genuine match scores tend to significantly decrease when time interval between two fingerprints in comparison increases, whereas the change in impostor match scores is negligible; and (ii) fingerprint recognition accuracy at operational settings, nevertheless, tends to be stable as the time interval increases up to 12 y, the maximum time span in the dataset. However, the uncertainty of temporal stability of fingerprint recognition accuracy becomes substantially large if either of the two fingerprints being compared is of poor quality. The conclusions drawn from 10-finger fusion analysis coincide with the conclusions from single-finger analysis.
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Bercelin, Rose Mary W., N. Subbulakshmi, and Tofflin R. Bini. "Fingerprint Combination of Privacy Preservation is Improved by Delaunay Triangulation Method." Applied Mechanics and Materials 573 (June 2014): 437–41. http://dx.doi.org/10.4028/www.scientific.net/amm.573.437.
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Fingerprints are graphical ridge and valley patterns on the tips of human fingers. Owing to their uniqueness and permanence, the use of fingerprints is considered to be one of the most reliable methods of personal verification. Fingerprints are today among the most popularly used biometric modalities in automatic verification systems. At the same time, Protecting the privacy of Fingerprint is an important one, here a novel system propose protecting fingerprint by combining two different fingerprints. In the enrolment stage, fingerprints will be captured from two different fingers. Minutiae positions are extracted from one fingerprint (its the detailed pattern of the fingerprint). The orientation, (it indicates the flow of ridges and valleys) from other fingerprint, and the reference points are calculated from both the two fingerprints. Extracted combined minutiae templates are stored into database. Here A Delaunay Triangulation indexing scheme has been designed for protecting biometric template and non-invertible template are calculated for verifies the authorized person. By using the Delaunay triangulation method fingerprint privacy has to be improved.
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Secundo, Lavi, Kobi Snitz, Kineret Weissler, Liron Pinchover, Yehuda Shoenfeld, Ron Loewenthal, Nancy Agmon-Levin, et al. "Individual olfactory perception reveals meaningful nonolfactory genetic information." Proceedings of the National Academy of Sciences 112, no. 28 (June 22, 2015): 8750–55. http://dx.doi.org/10.1073/pnas.1424826112.
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Each person expresses a potentially unique subset of ∼400 different olfactory receptor subtypes. Given that the receptors we express partially determine the odors we smell, it follows that each person may have a unique nose; to capture this, we devised a sensitive test of olfactory perception we termed the “olfactory fingerprint.” Olfactory fingerprints relied on matrices of perceived odorant similarity derived from descriptors applied to the odorants. We initially fingerprinted 89 individuals using 28 odors and 54 descriptors. We found that each person had a unique olfactory fingerprint (P < 10−10), which was odor specific but descriptor independent. We could identify individuals from this pool using randomly selected sets of 7 odors and 11 descriptors alone. Extrapolating from this data, we determined that using 34 odors and 35 descriptors we could individually identify each of the 7 billion people on earth. Olfactory perception, however, fluctuates over time, calling into question our proposed perceptual readout of presumably stable genetic makeup. To test whether fingerprints remain informative despite this temporal fluctuation, building on the linkage between olfactory receptors and HLA, we hypothesized that olfactory perception may relate to HLA. We obtained olfactory fingerprints and HLA typing for 130 individuals, and found that olfactory fingerprint matching using only four odorants was significantly related to HLA matching (P < 10−4), such that olfactory fingerprints can save 32% of HLA tests in a population screen (P < 10−6). In conclusion, a precise measure of olfactory perception reveals meaningful nonolfactory genetic information.
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Lakshmi, M. Sri, S. Sai Jayanth, Jayanth ., and Mahendra . "BIO-METRIC IDENTITY BY CONTACTLESS AND CONTACT-BASED MATCHING WITH CONSERVATIVE FINGERPRINT IMAGES." International Journal of Engineering Applied Sciences and Technology 6, no. 10 (February 1, 2022): 261–67. http://dx.doi.org/10.33564/ijeast.2022.v06i10.034.
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To defend state borders and backup egovernance programs, enormous databases of contactbased fingerprints have been generated. Contactless fingerprints sensors are becoming more popular because they provide a greater cleanliness, security and accuracy. The existing method have capacity to match contactless 2D fingerprints with legacy contact-based fingerprint databases is critical to the adoption and success of such contactless fingerprint technologies. This research looks at the issue and proposes a novel method for reliably matching fingerprint scans. The project consists of a robust thin-plate spline model that was a incorporated for the correction of deformations to address contact based and contactless sensor interoperability problems. The robust thin-plate spline (RTPS) is a new type of spline that can be more correctly describe elastic fingerprint deformations. The RTPS-based generalized fingerprint deformation correction model (DCM) is presented to correct such deformations on contact-based fingerprints. When DCM is used, essential minutiae element on both contactless and contact-based fingerprints are aligned accurately. Incorporating minutiae-related ridges into such cross-matching performance will be researched further. In addition, we create a new database of 1800 contactless 2D fingerprints and the associated contactbased fingerprints obtained from 300 clients, which is made public ally available for further research. Using two public ally available databases, the experimental results provided in this work confirm our approach and produce outperforming results for matching contactless 2D and contact-based fingerprint photos. Automated detection and correction of perspective distortion in contactless fingerprint images is expected to reduce the error rates. This work incorporates more robust core detection algorithms and powerful match strategy.
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Kirfel, Alexander, Tobias Scheer, Norbert Jung, and Christoph Busch. "Robust Identification and Segmentation of the Outer Skin Layers in Volumetric Fingerprint Data." Sensors 22, no. 21 (October 27, 2022): 8229. http://dx.doi.org/10.3390/s22218229.
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Despite the long history of fingerprint biometrics and its use to authenticate individuals, there are still some unsolved challenges with fingerprint acquisition and presentation attack detection (PAD). Currently available commercial fingerprint capture devices struggle with non-ideal skin conditions, including soft skin in infants. They are also susceptible to presentation attacks, which limits their applicability in unsupervised scenarios such as border control. Optical coherence tomography (OCT) could be a promising solution to these problems. In this work, we propose a digital signal processing chain for segmenting two complementary fingerprints from the same OCT fingertip scan: One fingerprint is captured as usual from the epidermis (“outer fingerprint”), whereas the other is taken from inside the skin, at the junction between the epidermis and the underlying dermis (“inner fingerprint”). The resulting 3D fingerprints are then converted to a conventional 2D grayscale representation from which minutiae points can be extracted using existing methods. Our approach is device-independent and has been proven to work with two different time domain OCT scanners. Using efficient GPGPU computing, it took less than a second to process an entire gigabyte of OCT data. To validate the results, we captured OCT fingerprints of 130 individual fingers and compared them with conventional 2D fingerprints of the same fingers. We found that both the outer and inner OCT fingerprints were backward compatible with conventional 2D fingerprints, with the inner fingerprint generally being less damaged and, therefore, more reliable.
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Oh, Sang Jae, and Seung-Jin Ryu. "Effect of Hydrophilic Quantum Dots Nano-Powder in Development of Latent Fingerprints on Various Surfaces." Korean Academy of Scientific Criminal Investigation 16, no. 3 (September 30, 2022): 231–37. http://dx.doi.org/10.20297/jsci.2022.16.3.231.
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In this research, hydrophilic quantum dot nano-powder (GQD@SiO2) was applied to compare the development of latent fingerprint on various surfaces and the development of latent fingerprint over time after fingerprint deposited. Hydrophilic quantum dot nano-powder exhibited green fluorescence under a wavelength of 365 nm ultraviolet, and increased adsorption characteristics through interaction with hydrophilic components in latent fingerprints showed clear minutiae on non-porous and semi-porous surfaces. It was difficult to express fingerprints on porous surfaces where fingerprint components were quickly absorbed, but on non-porous and semi-porous surfaces where fingerprint components could remain on the surface for a long time compared to porous surfaces, latent fingerprints could be expressed over time.
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Oh, Sang Jae, and Seung-Jin Ryu. "Effect of Hydrophilic Quantum Dots Nano-Powder in Development of Latent Fingerprints on Various Surfaces." Korean Academy of Scientific Criminal Investigation 16, no. 3 (September 30, 2022): 231–37. http://dx.doi.org/10.20297/jsci.2022.16.2.1.
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In this research, hydrophilic quantum dot nano-powder (GQD@SiO2) was applied to compare the development of latent fingerprint on various surfaces and the development of latent fingerprint over time after fingerprint deposited. Hydrophilic quantum dot nano-powder exhibited green fluorescence under a wavelength of 365 nm ultraviolet, and increased adsorption characteristics through interaction with hydrophilic components in latent fingerprints showed clear minutiae on non-porous and semi-porous surfaces. It was difficult to express fingerprints on porous surfaces where fingerprint components were quickly absorbed, but on non-porous and semi-porous surfaces where fingerprint components could remain on the surface for a long time compared to porous surfaces, latent fingerprints could be expressed over time.
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Manasi P. Bhosale and Manjushree S. Bagul. "Development of Latent Fingerprints on Various Surfaces- A Review." International Journal of Scientific Research in Science and Technology 11, no. 2 (April 18, 2024): 646–49. http://dx.doi.org/10.32628/ijsrst24112108.
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In recent times the fingerprints are obtained as key evidence from various crime scenes. This plays a vital role in solving the crime. Fingerprint development on various surfaces by powder method is very easy method for latent fingerprint visualization. Numerous techniques have been documented in the literature for revealing latent fingerprints on a variety of surfaces. In this present review paper, powders rather than standard powders are used for fingerprint development. Fingerprints have been developed on various surfaces using turmeric powder, soil, silica gel G powder, etc. Development of fingerprint on challenging surfaces is difficult. Powders used for fingerprint development is expensive so some easily available, inexpensive, eco-friendly powders are studied in this review.
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Chavan, Vilas A., Devidas S. Bhagat, and Ajit K. Gangawane. "Overview of bimetallic nanomaterials used for visualization of latent fingerprints on various surfaces." Problems of Forensic Sciences, no. 129 (September 8, 2022): 75–91. http://dx.doi.org/10.4467/12307483pfs.22.004.16305.
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This review focuses on the current trends in the use of doped metallic nanomaterials in forensic science for the development and detection of latent fingerprints (LFPs) on various surfaces which provide better fingerprint image quality. The advantages and important results of studies conducted on latent fingerprints detection with various doped metallic nanomaterials are critically discussed. We also glimpse on fluorescent nanoparticles that have succeeded in producing high-quality fingerprint images which lead to the extraction of all three levels of fingerprint features. A few metallic nanomaterials used for latent fingerprints detection did not produce high-quality fingerprint images failing extraction of all three levels of fingerprint features. To overcome this forensic problem more research is needed to improve the latent fingerprint detection abilities of doped metallic nanomaterials.
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Zhao, Dan, Wenting Ma, and Xincai Xiao. "The Recognition of Sweat Latent Fingerprints with Green-Emitting Carbon Dots." Nanomaterials 8, no. 8 (August 12, 2018): 612. http://dx.doi.org/10.3390/nano8080612.
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The recognition of fingerprints has played an extremely important role in criminal investigations, due to its uniqueness. This paper reports on the recognition of sweat latent fingerprints using green-emitting, environment-friendly carbon dots prepared with DL-malic acid and ethylenediamine, and the exploration of impacting factors in the development process of fingerprints. The experiments showed that better fingerprint images could be obtained when the latent fingerprints are developed in green-emitting carbon dots with pH 9 for 30 min, at room temperature. The reported method was also effective for latent fingerprints on a variety of substrates, as well as for those water-immersed ones, where the developed fingerprint remained stable after long-term preservation. Furthermore, the fluorescent three-dimensional fingerprint image could provide direct and simple evidence on pressing habits. The objective of this paper was to present this method. The method may help to narrow the range of suspects during criminal investigations and in forensic science.
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Yuserlina, Anny. "PERANAN SIDIK JARI DALAM PROSES PENYIDIKAN UNTUK MENENTUKAN PELAKU TINDAK PIDANA." JCH (Jurnal Cendekia Hukum) 3, no. 1 (September 28, 2017): 46. http://dx.doi.org/10.33760/jch.v3i1.10.
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Taking the latent fingerprints is present on the objects at the scene of the case, after which the object is held or tramped can be done in two ways, namely through puder and chemical process. Besides, fingerprint can also be done at the Investigation Office against suspects and people who want to take care of the letters, such as SKKB. In this case fingerprint is performed on a rolled impression and plain impression columns and columns for information along with the identity of the person whose fingerprints are taken. In the case of the perpetrator or suspect of a crime not yet caught, the fingerprint is one of the objective physical proofs in recognizing the return and identification of its behavior by comparing fingerprints between suspected persons or fingerprints that have been stored in police files with latent fingerprints found from crime scenes (TKP). it uses the empirical yuidist method which is empirical juridical itself according to Fred N Kerlner: as the questions tried to find the answer. It can be concluded that the authors want to approach the role of fingerprints in the investigation process tub from juridical aspect (legislation) maupundalam aspect p the implementation of the community (police). So in conclusion the latent fingerprint is found on the objects at the scene of the case, after the object is held or tramped can be done in two ways, namely through puder and chemical process. Besides, fingerprint can also be done at the Investigation Office against suspects and people who want to take care of the letters, such as SKKB. In this case fingerprint is performed on a rolled impression and a plain impression and a column for information along with the identity of the person fingerprints are taken.
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Mansour, Saleh, Shital Zade, Shipra Rohatgi, and Slobodan Oklevski. "Myths about fingerprint evidence: Basic facts countering miscarriage of justice. Part 1." Nowa Kodyfikacja Prawa Karnego 59 (November 9, 2021): 95–115. http://dx.doi.org/10.19195/2084-5065.59.8.
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The long practice of fingerprint science is accompanied by confusing thoughts affecting the interpretation of the fingerprint evidence recovered from a crime scene, and, consequently, prosecutors and judges’ decisions as well. However, despite the tremendous scientific and technological developments relating to fingerprint enhancement, processing, and usage, which clarify precise facts regarding the influence of deposition circumstances, substrate, light, air, temperature, and time factors on fingerprint secretions, misconceptions about fingerprints are still widespread within the law enforcement and judicial system. This problem prevents the proper usage of fingerprints in fighting crimes and supporting the justice system by strong physical evidence. This study aims to highlight some scientific facts about fingerprints as well as a new approach and reconceptualization of fingermarks as a tool for crime scene investigation and training. The article discusses twenty-four myths about fingerprints – part 1 covers ten of them and part 2 discusses the other fourteen.
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Sero, Dzemila, Isabelle Garachon, Erma Hermens, Robert Van Liere, and Kees Joost Batenburg. "The Study of Three-Dimensional Fingerprint Recognition in Cultural Heritage." Journal on Computing and Cultural Heritage 14, no. 4 (December 31, 2021): 1–20. http://dx.doi.org/10.1145/3461341.
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Fingerprints play a central role in any field where person identification is required. In forensics and biometrics, three-dimensional fingerprint-based imaging technologies, and corresponding recognition methods, have been vastly investigated. In cultural heritage, preliminary studies provide evidence that the three-dimensional impressions left on objects from the past (ancient fingerprints) are of paramount relevance to understand the socio-cultural systems of former societies, to possibly identify a single producer of multiple potteries, and to authenticate the artist of a sculpture. These findings suggest that the study of ancient fingerprints can be further investigated and open new avenues of research. However, the potential for capturing and analyzing ancient fingerprints is still largely unexplored in the context of cultural heritage research. In fact, most of the existing studies have focused on plane fingerprint representations and commercial software for image processing. Our aim is to outline the opportunities and challenges of digital fingerprint recognition in answering a range of questions in cultural heritage research. Therefore, we summarize the fingerprint-based imaging technologies, reconstruction methods, and analyses used in biometrics that could be beneficial to the study of ancient fingerprints in cultural heritage. In addition, we analyze the works conducted on ancient fingerprints from potteries and ceramic/fired clay sculptures. We conclude with a discussion on the open challenges and future works that could initiate novel strategies for ancient fingerprint acquisition, digitization, and processing within the cultural heritage community.
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GONZÁLEZ, MARIO, DAVID DOMINGUEZ, FRANCISCO B. RODRÍGUEZ, and ÁNGEL SÁNCHEZ. "RETRIEVAL OF NOISY FINGERPRINT PATTERNS USING METRIC ATTRACTOR NETWORKS." International Journal of Neural Systems 24, no. 07 (October 10, 2014): 1450025. http://dx.doi.org/10.1142/s0129065714500257.
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This work experimentally analyzes the learning and retrieval capabilities of the diluted metric attractor neural network when applied to collections of fingerprint images. The computational cost of the network decreases with the dilution, so we can increase the region of interest to cover almost the complete fingerprint. The network retrieval was successfully tested for different noisy configurations of the fingerprints, and proved to be robust with a large basin of attraction. We showed that network topologies with a 2D-Grid arrangement adapt better to the fingerprints spatial structure, outperforming the typical 1D-Ring configuration. An optimal ratio of local connections to random shortcuts that better represent the intrinsic spatial structure of the fingerprints was found, and its influence on the retrieval quality was characterized in a phase diagram. Since the present model is a set of nonlinear equations, it is possible to go beyond the naïve static solution (consisting in matching two fingerprints using a fixed distance threshold value), and a crossing evolution of similarities was shown, leading to the retrieval of the right fingerprint from an apparently more distant candidate. This feature could be very useful for fingerprint verification to discriminate between fingerprints pairs.
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Spanier, Assaf B., Dor Steiner, Navon Sahalo, Yoel Abecassis, Dan Ziv, Ido Hefetz, and Shimon Kimchi. "Enhancing Fingerprint Forensics: A Comprehensive Study of Gender Classification Based on Advanced Data-Centric AI Approaches and Multi-Database Analysis." Applied Sciences 14, no. 1 (January 2, 2024): 417. http://dx.doi.org/10.3390/app14010417.
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Fingerprint analysis has long been a cornerstone in criminal investigations for suspect identification. Beyond this conventional role, recent efforts have aimed to extract additional demographic information from fingerprints, such as gender, age, and nationality. While studies have demonstrated promising accuracy in gender classification based on fingerprints, practical implementation faces challenges, including the often low quality of crime scene fingerprints. This study presents a pioneering comparison of gender classification across diverse datasets, considering variations in fingerprint image quality. We examine the results from four databases, encompassing both public and private sources, employing state-of-the-art Data-Centric AI (DCAI) approaches for enhanced classification. Our findings reveal that a conservative Convolutional Neural Network (CNN)—specifically VGG—proves effective, achieving an accuracy ranging from 70% to 95% based on fingerprint quality. DCAI methods contribute a noteworthy 1–4% improvement. Notably, for partial or low-quality fingerprints, the periphery emerges as a critical determinant of gender classification. This study contributes insights into practical gender classification from fingerprints, emphasizing the significance of the fingerprint periphery. Furthermore, we provide the source code for future research and accessibility in real-world applications.
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Alotaibi, Ashwaq, Muhammad Hussain, Hatim AboAlSamh, Wadood Abdul, and George Bebis. "Cross-Sensor Fingerprint Enhancement Using Adversarial Learning and Edge Loss." Sensors 22, no. 18 (September 15, 2022): 6973. http://dx.doi.org/10.3390/s22186973.
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A fingerprint sensor interoperability problem, or a cross-sensor matching problem, occurs when one type of sensor is used for enrolment and a different type for matching. Fingerprints captured for the same person using various sensor technologies have various types of noises and artifacts. This problem motivated us to develop an algorithm that can enhance fingerprints captured using different types of sensors and touch technologies. Inspired by the success of deep learning in various computer vision tasks, we formulate this problem as an image-to-image transformation designed using a deep encoder–decoder model. It is trained using two learning frameworks, i.e., conventional learning and adversarial learning based on a conditional Generative Adversarial Network (cGAN) framework. Since different types of edges form the ridge patterns in fingerprints, we employed edge loss to train the model for effective fingerprint enhancement. The designed method was evaluated on fingerprints from two benchmark cross-sensor fingerprint datasets, i.e., MOLF and FingerPass. To assess the quality of enhanced fingerprints, we employed two standard metrics commonly used: NBIS Fingerprint Image Quality (NFIQ) and Structural Similarity Index Metric (SSIM). In addition, we proposed a metric named Fingerprint Quality Enhancement Index (FQEI) for comprehensive evaluation of fingerprint enhancement algorithms. Effective fingerprint quality enhancement results were achieved regardless of the sensor type used, where this issue was not investigated in the related literature before. The results indicate that the proposed method outperforms the state-of-the-art methods.
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Liu, Xi, Jian Cen, Yiju Zhan, and Chengpei Tang. "An efficient crowd-sourcing-based approach for fingerprint database updating." International Journal of Distributed Sensor Networks 15, no. 6 (June 2019): 155014771985851. http://dx.doi.org/10.1177/1550147719858512.
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Fingerprint-based indoor localization has become one of the most attractive and promising techniques; however, one primary concern for this technology to be fully practical is to maintain the fingerprint database to combat harsh indoor environmental dynamics, especially in the large-scale and long-term deployment. In this article, focusing on three key problems now existing in fingerprint database updating approaches such as the mechanism for triggering updates, the collection of new fingerprints and determination of fingerprints’ location information, we propose a fuzzy map mechanism and decision methods of neighbours’ fingerprints in response to all kinds of changes in indoor environments. Meanwhile, we design a static data collecting mechanism to filter reliable information from numerous users’ inputs and propose a neighbours’ fingerprint-assisted technique to calculate the location of fingerprints. Experimental results demonstrate that the proposed solution not only improves the performance of updating the fingerprint database in real time and robustness by 40% and 50%, respectively, but also reduces the update frequency and improves mean location accuracy by over 40%.
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Hamad, Zaitoon A., Hemn R. Salih, and Layla K. Ali. "Identification of Relationships between Fingerprint Patterns and Gender in Koya, Kurdistan Region, Iraq." Polytechnic Journal 11, no. 2 (December 30, 2021): 65–68. http://dx.doi.org/10.25156/ptj.v11n2y2021.pp65-68.
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According to this research probe the correlation between fingerprints and the gender for all 10 fingerprints. For this inquiry, 4939 samples were collected from 247 females and 247 male’s ages between 7 and 13 years old. This is the first systematic research of its kind to check at ten fingerprints for people from Koya, Kurdistan region north of Iraq. As per the findings, gender identity is accurate for people with any of their ten fingerprints. After magnifying the obviously acquired photos, the four basic fingerprint structures were identified and registered: Arch, Radial loop, Ulner loop, and Whorl. Statistical analysis was performed using Chi-square analysis to determine the interaction and pattern between fingerprints and sex. The study show that, Archs (316), Ulnar loop (1450), Radial loop (1346), Whorl (1827). Out of which Arch’s male = (8.21), female = (9.08), Ulner loop, male = 42.44, female = 38.04. Radial loop, male = 33.93, female = 39.73. Whorl, male = 51.55, female = 48.44 were noticed With respect to gender, these proportions of overall fingerprint patterns in both hands were significantly positive (χ2 = 15.28, P = 0.00159). P < 0.05 indicates that the data are vital. Gender has no effect on fingerprint pattern distributions. As a consequence, there is a relationships between fingerprints and gender.
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Sommit, Nichchar, and Ratchapak Chitaree. "The overlapped latent fingerprint separation by using Fourier Optics (FO)." Journal of Physics: Conference Series 2145, no. 1 (December 1, 2021): 012055. http://dx.doi.org/10.1088/1742-6596/2145/1/012055.
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Abstract Latent fingerprints are one of the most important pieces of evidence left at a crime scene and can be linked to all individuals involved. Each person’s fingerprints are unique and permanent, becoming an ideal biometric trait for the personal identification by extracting and comparing characteristic points (minutiae) of ridges. The overlapping fingerprint cases are frequently encountered in a crime scene and causing a difficult interpretation for an investigator. The problem has been challenging for forensic scientists over a decade. The method proposed in this study for the separation of overlapped latent fingerprints is based on the well-known spatial filtering method in the Fourier Optics (FO). Instead of tackling the problem by experiment, an alternative and simple means of image processing was proposed and conducted. The working principles start form converting spatial domain patterns (an image of overlapped fingerprints) to spatial frequency domain patterns or power spectrum, filtering out unwanted components (unwanted fingerprint) by appropriate spatial filters, and finally converting the modified pattern back to spatial domain patterns (an image of suspect fingerprint). As a result, the final image is improved from its original state. The periodic pattern of ridges is the key that allows FO to be used in the separation of the overlapped fingerprints. In this work, the procedures described are simply performed by an open source software: ImageJ. The FO-based image processing technique satisfactorily demonstrated its ability to recover an individual fingerprint from overlapping fingerprints.
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Sari, Sri Adelila, and Ade Novita Sari Lubis. "The Development of Dusting Method for Dragon Fruit Peel as Fingerprint Visualization." JKPK (Jurnal Kimia dan Pendidikan Kimia) 6, no. 1 (April 30, 2021): 1. http://dx.doi.org/10.20961/jkpk.v6i1.46315.
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<p>Various fingerprint powder preparations used for fingerprints have a color or contrast and a sticky material for good adhesion. However, some chemical substrates used for fingerprint powders are toxic and have the potential to harm health. This research is essential to overcome this problem using a new natural powder , namely dragon fruit peel powder, as a latent fingerprint development that was simple, non-toxic, and cheaper than commercial used fingerprint powder. Fingerprint development was carried out on non-porous surfaces (aluminium foil, CD, glass preparations) and porous surfaces (HVS paper, spectra paper, paperboard). This study used 90 fingerprint samples based on ethnicity (Batak, Javanese, Malay), blood type, and gender. The development of fingerprints using dragon fruit peel powder resulted in clear visualization on the surface of aluminium foil and glass preparations with sizes of 100 and 200 mesh. Meanwhile, fingerprints on the paper surface resulted in poor visualization because the protrusions of the fingerprints were not visible. The most dominant fingerprint patterns based on ethnicity, blood group, and gender were the loop pattern, then the whorl, and the smallest arch, respectively.</p><p><strong><em> </em></strong></p>
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ÇINGI, Haci İsmail, Sadettin ÇALDIRAN, Mustafa YILMAZ, and Ömer ÇINGI. "An Investigation of the Relationship between Fingerprints and Anaerobic Powers of Sports Sciences Students." Sosyolojik Bağlam Dergisi 4, no. 2 (August 15, 2023): 182–92. http://dx.doi.org/10.52108/2757-5942.4.2.6.
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In this study, the relationship between fingerprints and the anaerobic power of athletes was analyzed in a random sample group in correlation type. Fingerprints have been used electronically for identification in forensic criminology and authentication in business and social life with the development of dermatoglyphics science in the last century and the understanding that fingerprints are unique to the individual. Today, it is known that much research is being carried out to determine genetic characteristics, heredity, gender, character, and ability analysis from fingerprints. In this study, the height and weight measurements of 126 athletes from Cumhuriyet University Faculty of Sports Sciences were taken with the appropriate sampling method, and the vertical jump test was applied to the individuals. The anaerobic power of the athletes was calculated with these collected data. The coding method determined 10 fingerprints of the same sample group, and fingerprint classes and attributes were determined by observation. According to the findings obtained from the data analysis, a significant difference was observed between the anaerobic powers of the athletes according to their fingerprint classes. The anaerobic power of athletes with W2 Normal fingerprint codes has been observed to be higher than those without W2. However, it has been observed that fingerprints in certain codes increase and decrease in direct proportion to anaerobic power. In light of the data obtained in this study, limited but meaningful data were obtained in the direction of detecting sportive skills from fingerprints.
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Solhi, Hasan, Mojgan Hashemieh, Mohammad Lorgard Dezfuli Nejad, Hamid Reza Khoddami Vishteh, and Maryam Rahmati Nejad. "Diagnostic value of fingerprint patterns: An explorative study on beta-thalassemia diagnosis." Bangladesh Medical Research Council Bulletin 36, no. 1 (July 17, 2010): 27–31. http://dx.doi.org/10.3329/bmrcb.v36i1.4631.
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Rapid diagnosis of major ? thalassemia along with certain preventive measures is of utmost significance. The present study aims to compare the fingerprints in Major ? thalassemic patients (67) and in their parents (76 with minor thalassemia) with the normal fingerprints of control group (144). A forensic medical examiner determined fingerprint types of arch, loop, whorl and other types. Like normal individuals, loop fingerprint pattern was found to be the most common fingerprint type among thalassemic patients. However, the number of whorl fingerprints in all fingers in thalassemic patients was greater than that of normal individuals and the number of loop fingerprints was smaller (p<0.05). Arch type fingerprint pattern was less frequent in major thalassemic patients compared to minor thalassemic ones (p<0.05). The findings show that the number of whorl fingerprint patterns in thalassemic patients was greater than that of normal individuals, while the number of loop fingerprint patterns being smaller and the frequency of arch fingerprint pattern in patients with major thalassemia was lower than that of minor thalassemic patients. Therefore, one may choose fingerprint pattern as a simple, affordable and appropriate screening method to help detect the afflicted patients and prevent severe cases of thalassemia. Online: 18 July 2010 DOI: http://dx.doi.org/10.3329/bmrcb.v36i1.4631 Bangladesh Med Res Counc Bull 2010; 36: 27-31
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Saeed, Fahman, Muhammad Hussain, and Hatim A. Aboalsamh. "Automatic Fingerprint Classification Using Deep Learning Technology (DeepFKTNet)." Mathematics 10, no. 8 (April 12, 2022): 1285. http://dx.doi.org/10.3390/math10081285.
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Fingerprints are gaining in popularity, and fingerprint datasets are becoming increasingly large. They are often captured utilizing a variety of sensors embedded in smart devices such as mobile phones and personal computers. One of the primary issues with fingerprint recognition systems is their high processing complexity, which is exacerbated when they are gathered using several sensors. One way to address this issue is to categorize fingerprints in a database to condense the search space. Deep learning is effective in designing robust fingerprint classification methods. However, designing the architecture of a CNN model is a laborious and time-consuming task. We proposed a technique for automatically determining the architecture of a CNN model adaptive to fingerprint classification; it automatically determines the number of filters and the layers using Fukunaga–Koontz transform and the ratio of the between-class scatter to within-class scatter. It helps to design lightweight CNN models, which are efficient and speed up the fingerprint recognition process. The method was evaluated two public-domain benchmark datasets FingerPass and FVC2004 benchmark datasets, which contain noisy, low-quality fingerprints obtained using live scan devices and cross-sensor fingerprints. The designed models outperform the well-known pre-trained models and the state-of-the-art fingerprint classification techniques.
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Rowa, Arianti Magi, and Nikmatul Iza. "Profil Fingerprinting (Sidik Jari) pada Populasi Suku Ububewi Di Wanukaka Sumba Barat, Nusa Tenggara Timur, Indonesia." Prosiding Seminar Nasional IKIP Budi Utomo 2, no. 01 (November 13, 2021): 289–95. http://dx.doi.org/10.33503/prosiding.v2i01.1472.
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Fingerprints have unique and permanent properties as differentiators from one individual to another, even in identical twins the fingerprints are not the same, besides that fingerprints can be used as a search tool. This study aims to analyze fingerprint patterns in the population of the Ububewi tribe. This research is a qualitative descriptive study with a population of 70 students from the Ububewi tribe, West Sumba, East Nusa Tenggara. Data collection techniques were carried out by interviewing, filling out questionnaires, and printing fingerprints on reading sheets. The results of the fingerprint pattern were analyzed using the guidelines in the finger classification system. Based on the research, it shows that the characteristic of the fingerprint pattern of the Ububewi tribe is having a dominant ulnar loop (UL) pattern on the middle finger (M) of the right hand by 64.28% (45 fingers) and the little finger (L) of the right and left hands of 72. 86% (51 fingers) and 70% (49 fingers).
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Zaigham Abbas, Basheer Ahmed, Jamsaid Abbas, Abdullah Akbar, and R Batool. "A Fingerprint based Students attendance System with SMS alert to Parents." Iraqi Journal of Information and Communication Technology 6, no. 3 (December 31, 2023): 76–87. http://dx.doi.org/10.31987/ijict.6.3.271.
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Technological developments in the domains of electronics and telecommunication have led to an expanding variety of arrangements in the home and office. This project presents the design methodology for a mobile fingerprint-based student attendance system that utilizes a global system for mobile communication (GSM) technology. This course of study mostly entails matching fingerprints based on the number of minute pairings between two fingerprints and extracting minutiae points from model fingerprint pictures. The system has an attendance module and a terminal for collecting fingerprints. It is capable of autonomously carrying out tasks like fingerprint data collection and processing as well as wireless communication, creating an attendance record, and matching fingerprints. Following the attendance check, Through GSM, this technology transmits each student’s attendance to their parent’s mobile device. An attendance system makes it easier to obtain a specific student’s attendance for a given class. This effort heralds a new era for parent alerts and student security.
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Maheshwari, Uma, and Kalpana Kalpana. "Multimodal Image Fusion in Biometric Authentication." Fusion: Practice and Applications 1, no. 2 (2020): 79–91. http://dx.doi.org/10.54216/fpa.010203.
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During this study, a unique multimodal biometric system was constructed. This system incorporated a variety of unimodal biometric inputs, including fingerprints, palmprints, knuckle prints, and retina images. The multimodal system generated the fused template via feature-level fusion, which combined several different biometric characteristics. The Gabor filter extracted the features from the various biometric aspects. The fusion of the extracted information from the fingerprint, knuckle print, palmprint, and retina into a single template, which was then saved in the database for authentication, resulted in a reduction in both the spatial and temporal complexity of the process. A novel technique for safeguarding fingerprint privacy has been developed to contribute to the study. This system integrates the unique fingerprints of the thumb, index finger, and middle finger into a single new template. It was suggested that the Fixed-Size Template (FEFST) technique may be used might develop a novel strategy for the extraction of fingerprint features. From each of the fingerprints, the minute locations of the ridge end and ridge bifurcations as well as their orientations relative to the reference points were retrieved. The primary template was derived from the fingerprint that included the greatest number of ridge ends. For the purpose of generating the combined minutiae template, the templates of the other two fingerprints were incorporated into this template. The merged minutiae template that was developed was then saved in a database so that registration could take place. During the authentication process, the system received the three query fingerprints, and those fingerprints were compared to the previously saved template.
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Altameemi, Hayder G. A., Ahmed Abdul Azeez Ismael, and Raddam Sami Mehsen. "Hough Transform for Distinctive Edge Detection to Images in Fingerprint Recognition Matching Transformation." Webology 18, no. 2 (December 23, 2021): 999–1010. http://dx.doi.org/10.14704/web/v18i2/web18369.
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Biometric Identification is a globally renowned procedure, which has been utilised to achieve a successful and accurate level of identification. In the sea of biometrics, fingerprints are deemed more popular when it comes to verification. This results from the presence of the ridges on the fingerprints that are completely exclusive to each individual. Besides that, fingerprints are expansively employed to ascertain and authenticate people individually. Therefore, this study had proposed to employ distinctive Edge Detection techniques together with the Hough Transform to match the images of the fingerprints in a fingerprint matching system. The Hough Transform is a superior procedure carried out to get an accurate series of finer points or lines. The finer points or lines would then distinguish the fingerprints. Nevertheless, it was still a challenge to extract finer points or lines from the fingerprints under uninhibited conditions. Therefore, this paper was organised based on four distinctive steps. First, different Edge Detection operators were employed to perform the fingerprint matching algorithm. Next, the fingerprint matching algorithm was applied twice to the same Edge Detection operators. Thirdly, the Edge Detection operators had been substituted with the Transformation Method for the same matching procedure. For example, the proposed fingerprint matching algorithm comprised of the Hough Transform and same Edge Detection operators. Finally, distinct Edge Detection operators based on the decision making algorithm were used to calculate and determine the percentage of matching. Therefore, this study proved that the prints obtained via the Prewitt Edge Detection together with Hough Transform were in an agreement.
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Liu, Manhua, Shuxin Liu, and Weiwu Yan. "Latent Fingerprint Segmentation Based on Ridge Density and Orientation Consistency." Security and Communication Networks 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/4529652.
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Latent fingerprints are captured from the fingerprint impressions left unintentionally at the surfaces of the crime scene. They are often used as an important evidence to identify criminals in law enforcement agencies. Different from the widely used plain and rolled fingerprints, the latent fingerprints are usually of poor quality consisting of complex background with a lot of nonfingerprint patterns and various noises. Latent fingerprint segmentation is an important image processing step to separate fingerprint foreground from background for more accurate and efficient feature extraction and matching. Traditional methods are usually based on the local features such as gray scale variance and gradients, which are sensitive to noise and cannot work well for latent images. This paper proposes a latent fingerprint segmentation method based on combination of ridge density and orientation consistency, which are global and local features of fingerprints, respectively. First, a texture image is obtained by decomposition of latent image with a total variation model. Second, we propose to detect the ridge segments from the texture image, and then compute the density of ridge segments and ridge orientation consistency to characterize the global and local fingerprint patterns. Finally, fingerprint segmentation is performed by combining the ridge density and orientation consistency for latent images. The proposed method has been evaluated on NIST SD27 latent fingerprint database. Experimental results and comparison demonstrate the promising performance of the proposed method.
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Singh, Babita, and Waseem Ahmad. "Implementation of Latent Fingerprint Matching System." International Journal of Advance Research and Innovation 2, no. 2 (2014): 43–47. http://dx.doi.org/10.51976/ijari.221406.
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"Biometrics" means "life measurement" .The term is usually associated with the use of unique physiological characteristics to identify an individual. Biometrics is used in computer science as a means of identification and access control. It is also used to identify individuals in groups that are under surveillance. Latent finger prints are inadvertent impressions left by fingers on surfaces of objects. The main difficulties in latent fingerprint matching are unclear ridge structure, small finger area, and large non-linear distortion while rolled fingerprint are of larger size and contain more minutiae. Latent fingerprint identification is of critical importance to law enforcement agencies in identifying suspects. While tremendous progress has been made in plain and rolled fingerprint matching, latent fingerprint matching continues to be a difficult problem. The eventual goal of research is to propose a system for matching latent fingerprints to rolled fingerprints that is needed in forensics applications. The system will match latent fingerprints to rolled fingerprints that is needed in forensics applications. In this paper we will apply latent fingerprint algorithm to develop a minutiae-based fingerprint matcher that takes into account the specific characteristics of the latent matching problem.The experimental results indicate that singularity, ridge quality map, and ridge flow map are the most effective features in improving the matching accuracy. The matching module consists of minutiae matching, orientation field matching.
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Aggarwal, Pallavi, and Mansi Chitkara. "Detection of Metabolites in Latent Fingerprints Through Green Nanoparticles for Both Forensic Investigations and Medical Purposes." ECS Transactions 107, no. 1 (April 24, 2022): 10593–602. http://dx.doi.org/10.1149/10701.10593ecst.
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Fingerprints are of core importance to the forensic science for the case investigations. The latent fingerprints are the invisible fingerprints which needs different methods to be visualized. Many methods have been developed for the visualiztion of the latent fingerprints through which the unique ridge pattern of the individual can be identified, but there is a strong requirement for the detection of sweat residues present in the latent fingerprint ridges. The latent fingerprints opens a wide scope of unexplored area in research that is beyond the scope of forensics in detecting various illicit drugs or metabolites of clinical importance. These prints generally show surface-based phonemenon and the nanomaterials provides new opportunities in surface-based sciences. Therefore, the nanoparticles can play a vital role in the detection of molecules in the latent fingerprint ridges. The synthesis of nanoparticles from natural products like green plants provides non-toxic, eco-friendly, biodegradable materials which can be easily utilized in the environment.
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Chelladurai, Chialeexian, Noor Hazfalinda Hamzah, Gina Francesca Gabriel, Khairunnisa Zaidan, and Khairul Osman. "DEVELOPMENT OF ALTERNATIVE PATENT FINGERPRINT USING ALCOHOL GEL AND THERMAL PAPER." Jurnal Sains Kesihatan Malaysia 22, no. 1 (January 1, 2024): 38–46. http://dx.doi.org/10.17576/jskm-2024-2201-04.
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Fingerprints are unique structures made up of a combination of friction ridges and are varied for everyone. Due to the individual characteristics of fingerprints, it is used for identification. Traditionally, patent fingerprints are obtained using an ink pad. With the emergence of COVID-19, bank has started to provide hand sanitisers for users of ATM. Some ATM users will use an ATM, pull the ATM receipt, and proceed to clean their hands using the complimentary hand sanitisers. Unintentionally, these steps will produce a receipt with the user’s fingerprints. Hence forth, this research aims to study the possibility of obtaining fingerprints from various thermal receipt papers after a finger had contacted with hand sanitisers. Six donors were requested to deposit their fingerprints on different types of thermal paper using different brands of hand sanitisers. Quality scores were given to show the fingerprint quality difference generated using various combinations of thermal paper and hand sanitisers. The result showed that patent fingerprints developed using hand sanitiser and thermal paper were of lower quality than the standard (ink pad). Combination of alcohol-based hand sanitiser, which consists of 70% alcohol concentration and ATM receipt paper was found to be able to produce the best quality fingerprint among the studied combinations.
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Rukmana, Siti Humaero, Amiruddin Amiruddin, and Sahnan Sahnan. "Legal Analysis of Fingerprint Formation in the Original Deed of Land Deed Official (PPAT)." International Journal of Multicultural and Multireligious Understanding 7, no. 6 (July 2, 2020): 135. http://dx.doi.org/10.18415/ijmmu.v7i6.1743.
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This research aims to analyze the formation of fingerprints in the deed of Land Deed official (PPAT). According to Government Regulation of the Republic of Indonesia number 24 of 2016 about the amendment of Government Regulation No. 37 of 1998 about department Regulation (PPAT) Land deed official. In the event that the fingerprint of the the appearers on this PPAT deed there is an empty norm, because in the Government Regulation of the Republic of Indonesia number 24 of 2016 about the amendment of Government Regulation No. 37 of 1998 on department rules Land deed Office (PPAT), not listed in the article on the formation of fingerprints on the original deed of PPAT. Apart from this, it is also questionable about the legal force of the The Appearers fingerprint on the PPAT deed in terms of providing legal protection to PPAT that prints fingerprints on the deed which is made. The problem is how the concept of fingerprint formation in the creation of the original deed of PPAT and what is the juridical implication on the formation of fingerprints in the original deed of PPAT. This research aims to determine the concept of fingerprint formation in the creation of the original deed of PPAT and to know the juridical implications for the formation of fingerprints in the original deed of PPAT. This method of research uses normative legal research methods. The approach used is the of approach, and the conceptual approach. The results of this study are the first the creation of fingerprints is only in accordance with law No. 2 of 2014 on the amendment of law No. 30 of 2004 on the Department of notary, found in article 16 paragraph (1) C which is "to attach letters and documents as well as fingerprint in the deed minuta", so that this rule only applies to notaries instead of PPAT. While in the regulation of the Department of PPAT, there is no rule on the formation of fingerprints in the PPAT deed but in practice many PPAT put fingerprints on the PPAT deed. To attach the appearer to the original deed PPAT aims to anticipate if a time when the complainers deny his or her signature to the original deed of PPAT, then as evidence for additional use of the appearer. So it should be made a provision or regulation of legislation that set it. Second according to the PPAT formation of fingerprints, of course, can be, in addition to no rules advocating, there are no rules that prohibit and there is no sanctions if a fingerprint in the PPAT deed, especially if the complainant does not feel the objection to fingerprint in the deed.
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Tao, Dai Qin, Tao Liu, Yan Dong, Yong Jie He, and Bin Yang. "Comparative Study on Sweat Fingerprints Photographic Effects between Full-Band CCD and UV Observing Photograph Systems." Applied Mechanics and Materials 496-500 (January 2014): 1744–47. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1744.
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Using the full-band CCD (PL4240 UV, FLI) and Yunnan Zhihai ultraviolet observation camera system (UVYNZH-II) shoot sweat fingerprints on A4 wrapper and A4 printing paper, to comparatively analyze the effects these two camera systems. The clarity and contrast of ultraviolet image captured from Full-band CCD is better than from UV observation camera system, but both devices are able to reflect the fingerprint ridge characteristics. For sweat fingerprints, it is better for the full-band CCD, but under good conditions for sweat fingerprints bridges, UV observation camera system can basically meet the requirements of sweat fingerprint UV shooting.
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Wang, Yan, Cai Ying Li, Heng Liang Mo, Yan Zhi Sun, Yong Mei Chen, and Ping Yu Wan. "Extraction of Chemical Fingerprint in Food Industry Wastewater." Advanced Materials Research 726-731 (August 2013): 1484–90. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.1484.
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Wastewater source tracing technology is a method to find the pollution wrecker based on wastewater chemical fingerprint database. How to extract and verify the chemical fingerprints of each factory is the key technology. Here report the extraction of chemical fingerprint by taking two factories (food brewing and food processing factories) surrounding Tong Zhou North Canal (Beijing) as representatives. Firstly, the organic chemicals, anions, heavy metal ions in wastewater are detected respectively by gas chromatography-mass spectrometry (GC-MS), ion chromatography (IC), inductively coupled plasma mass spectrometry (ICP-MS) and three-dimensional excitation emission matrix fluorescence spectroscopy (3D-EEM). According to the screening principles of chemical fingerprints, the pollution and characteristic fingerprints of two factories are identified. Finally, the simulated water samples were used to test the stability and feasibility of the extracted chemical fingerprints.
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Park, Gun-Sik. "The function of fingerprints: How can we grip?" Open Access Government 38, no. 1 (April 11, 2023): 280–81. http://dx.doi.org/10.56367/oag-038-10634.
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The function of fingerprints: How can we grip? Professor Gun-Sik Park, in the Department of Physics and Astronomy at Seoul National University explores the function of fingerprints from a lens of understanding the mechanism of our human ability to grip. The regulation of moisture levels in fingerprints has been found to play a crucial role in optimizing grip and maximizing friction. Our study revealed that the function of fingerprints is to control the hydration of the fingertips, allowing for precision gripping. To understand the hydrodynamics of the fingerprint, we used electromagnetic waves in various frequency ranges, including megahertz, terahertz, infrared, and visible light. Our results showed that the fingerprint structure acts as a capillary channel for evaporation, leading to a steady-state hydration condition in either dry or wet conditions.
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Szynkowska-Jóźwik, Małgorzata I., Elżbieta Maćkiewicz, Jacek Rogowski, Magdalena Gajek, Aleksandra Pawlaczyk, Marcel de Puit, and Andrzej Parczewski. "Visualisation of Amphetamine Contamination in Fingerprints Using TOF-SIMS Technique." Materials 14, no. 21 (October 20, 2021): 6243. http://dx.doi.org/10.3390/ma14216243.
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Time-of-flight secondary ion mass spectrometry (TOF-SIMS) was applied to detect traces of amphetamine on fingerprints. In the present study, three different lift tapes and latent powder fingerprints were tested. The obtained results show that it is possible to identify traces of a drug as well as its distribution over the tested fingerprint after its transfer from the primary base onto an adhesive lifter (secondary base). Moreover, images obtained by the TOF-SIMS technique enable the observation of very small areas of the analysed fingerprint as well as the identification of micro-objects (residues of a contaminant) that were left on the fingerprint. The use of the black latent fingerprint powder did not interfere with the TOF-SIMS analysis, which makes it possible to effectively use this technique to study the traces of substances on the revealed fingerprints.
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Chun, Jung Hwan, and kyunglock Park. "The Actual Conditions in Fingerprinting against the Unnatural Dead Bodies and the Improvement Direction for Nonproliferation of Infectious Diseases." Korean Academy of Scientific Criminal Investigation 16, no. 3 (September 30, 2022): 187–94. http://dx.doi.org/10.20297/jsci.2022.16.3.187.
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Fingerprinting powder and brush, that are used to collect fingerprints from those unnaturally killed, are likely to cause the spread of infections disease after they are applied to the source of infection. Therefore, it is necessary to research and develop new material that is less harmful to human bodies and not likely to spread in the air. Other fingerprinting tools that are unsuitable for disinfection can bring environmental pollution when disposed, and they are not for one-time use due to the high cost. Bacteria are collected from the brush, that are used to take fingerprints from the deceased, and cultured on even surfaced media, and they are confirmed to be bacillus circulans, staphylococcus aureus and staphylococcus epidermidis. The padded part of newly improved ‘fingerprint stamp’, which directly touches dead body can be sterilized, and the fingerprint stamp can also prevent the leakage of remaining infectious viruses for it is covered with protective lid. The fingerprints taken with improved ‘fingerprint stamp’ is confirmed to be in accordance with the data stored in AFIS, and the quality score of fingerprints taken with ‘fingerprint stamp’ is turned out to be the same as the one taken with powder technique
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Johnson, James R., and Connie Clabots. "Improved Repetitive-Element PCR Fingerprinting ofSalmonella enterica with the Use of Extremely Elevated Annealing Temperatures." Clinical Diagnostic Laboratory Immunology 7, no. 2 (March 1, 2000): 258–64. http://dx.doi.org/10.1128/cdli.7.2.258-264.2000.
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ABSTRACT Modified thermal cycling conditions were explored in an effort to improve the reproducibility and resolving power of repetitive-element PCR (rep-PCR) fingerprinting. Assay performance was rigorously evaluated under standard and modified cycling conditions, using as a test set 12 strains putatively representing 12 serovars ofSalmonella enterica. For all three fingerprint types (ERIC2, BOXA1R, and composite fingerprints), the use of extremely elevated annealing temperatures plus an initial “touchdown” cycling routine yielded significant improvements in day-to-day reproducibility and discriminating power despite the somewhat sparser appearance of the fingerprints. Modified cycling conditions markedly reduced the variability of fingerprints between cyclers, allowing fingerprints from different cyclers to be analyzed together without the degradation of assay performance that occurred with between-cycler analyses under standard cycling conditions. With modified cycling, composite fingerprints exhibited the lowest reproducibility but the highest net discriminating power of the three fingerprint types. rep-PCR fingerprints led to the discovery of a serotyping error involving one of the 12 test strains. These data demonstrate that modified cycling regimens that incorporate elevated annealing temperatures (with or without an initial touchdown routine) may markedly improve the performance of rep-PCR fingerprinting as a bacterial typing tool.
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Marwondo, Sardjono, and Ruslan Efendi. "Identification of Distorted Fingerprints Using Wavelet Method and Convolutional Neural Network (CNN)." JUSTINFO | Jurnal Sistem Informasi dan Teknologi Informasi 1, no. 2 (June 25, 2024): 113–28. http://dx.doi.org/10.33197/justinfo.vol1.iss2.2023.2074.
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Biometrics offers a valuable tool for disaster victim identification, particularly through fingerprints. However, distorted or damaged fingerprints pose a significant challenge for recognition. This study explores the potential of Wavelet and Convolutional Neural Network (CNN) techniques to enhance the accuracy of distorted fingerprint recognition. Wavelet transform addresses the non-stationary nature of images and reduces detected noise. Convolutional Autoencoder, a CNN component, generates simplified feature representations from input images and attempts to reconstruct them. Utilizing 500 fingerprint samples, the testing results demonstrate accuracy variations ranging from 11% to 59.2%. Image reconstruction achieved 7.16% to 12.47% accuracy, while fingerprint matching attained accuracies between 92.71% and 93.96%. Averaging across all damage levels, the overall accuracy reached 37.65%, with average fingerprint reconstruction at 9.31% and average matching accuracy at 93.03%. The successful reconstruction and matching of distorted fingerprints within a certain range of damage using Wavelet and Convolutional Neural Network highlights the promising potential of these techniques for improved fingerprint identification in forensic and security contexts.
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Singh, Sharad Pratap, Shahanaz Ayub, and J. P. Saini. "Analysis and comparison of normal and altered fingerprint using artificial neural networks." International Journal of Knowledge-based and Intelligent Engineering Systems 25, no. 2 (July 26, 2021): 243–49. http://dx.doi.org/10.3233/kes-210068.
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Fingerprint matching is based on the number of minute matches between two fingerprints. Implementation mainly includes image enhancement, segmentation, orientation histogram, etc., extraction (completeness) and corresponding minutiae. Finally, a matching score is generated that indicates whether two fingerprints coincide with the help of coding with MATLAB to find the matching score and simulation of Artificial Neural Network extending the feedback of the network. Using the artificial neural network tool, an important advantage is the similarity index between the sample data or unknown data. A neural network is a massively parallel distributed processor consisting of simple processing units that have a natural property to store knowledge and computer experiences are available for use. A fingerprint comparison essentially consists of two fingerprints to generate a fingerprint match score the match score is used to determine whether the two impressions they are of the same finger. The decision is made this study shows the comparison of normal and altered fingerprints using MATLAB coding and data used to study in the self-generated data using biometric scanner also the open source data available on the web is used for finding out matching score or similarity index, The study shows that there is hardly any matching between normal and altered fingerprints of the same person.
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Krushnai. J. Parkale and Manjushri. S. Bagul. "A Review of Latent Fingerprint Developed Powder from using Natural Materials." International Journal of Scientific Research in Science and Technology 11, no. 2 (April 21, 2024): 715–17. http://dx.doi.org/10.32628/ijsrst24112115.
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The fingerprint development technique is one of the oldest methods used in forensic science and is a common method of identifying perpetrators. [1] Different powder methods have been accounted for the development of latent fingerprints on various surfaces in the literature, such as lead, titanium oxide, Rhodamine B dye etc., all powders mentioned had been used for the development of latent fingerprints. Some of these methods using powders when exposed to humans, may lead to health problems, and also these methods are expensive in nature [2]. Various fingerprint powder preparations used for fingerprints have a color or contrast and a sticky material for good adhesion [3]. The goal of this review is to compile the research works done by various experts to identify commonly available, everyday materials as fingerprint powders such materials from various categories such as food powders, plant materials, minerals, cosmetics, carbon-based materials, and miscellaneous powders [1]. The powder method is a quick and easy approach to the development of latent fingerprints on porous and nonporous surface [4]. proposing a new powder method, which is simple, nontoxic to human health, cheap in nature, and as well can be utilized for the development of latent fingerprints on various contrast surfaces [2].
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Shormanov, T., T. Mazakov, Sh Jomartova, M. Aliaskar, A. Mazakova, and A. Zhaksymbet. "Creation of a software and hardware complex for fingerprint identification." Bulletin of the National Engineering Academy of the Republic of Kazakhstan 91, no. 1 (March 15, 2024): 147–57. http://dx.doi.org/10.47533/2024.1606-146x.15.
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In this paper, we have studied the following biometric identification of a person by fingerprints. The methodology of the experimental studies is considered, the process of processing the results of identification is described. This paper develops a system of human recognition by fingerprints. The recognition system is designed for data storage, further processing, identification and display of fingerprint images. FPM10A scanner and Arduino microcontroller are used for biometric human identification by fingerprints. The paper considers the Distinguishing features of finger papillary patterns by their structure. Fingerprint matching results with different rotation through the scanner. The article deals with image processing algorithms for biometric identification by fingerprints. Distinguishing features of finger papillary patterns by their structure were investigated, considering different pressures, velocities, directions, ambient temperatures, humidity, etc. levels result in different images. Thanks to various algorithms for Digital image processing and analysis, represented by the SIFT and SURF descriptors, allows for quick characterization of each image. We used a photographic database obtained from public sources – Fingerprint Verification Competition 2004 (FVC2004). As a result, the graphical representation as well as the number of matching keypoints by fingerprints were investigated. The search for key points is performed using the Hesse matrix. The determinant of the Hesse matrix (Hessian) is maximal at the point where the change in luminance gradient is maximum. Fingerprints were acquired using the “Cross Match V300” optical sensor. In the experiment, the software developed system is invariant to image rotations.
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Latha, K., and C. Manikandan. "Critical Analysis and Detection of Altered Fingerprints Using Evolutionary Computation Algorithm." Applied Mechanics and Materials 573 (June 2014): 483–88. http://dx.doi.org/10.4028/www.scientific.net/amm.573.483.
Full textAbstract:
The widespread operation of modified algorithm (National Institution of Standard Technology Fingerprint image Quality (NIFQ)) in government applications allow some persons with illegal environment by neglecting the detection of altered fingerprints. By using the fingerprint quality assessment software, it is difficult to find the altered fingerprints, since the quality of image does not degrade. This paper focuses on optimizing the modified NFIQ algorithm by implementing particle swarm optimization (PSO) based on a fingerprint identification system. It can also be helpful in improving the performance by accuracy and robustness for detecting the fingerprint which is altered.
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Bhilavade, Milind B., Dr K. S. Shivaprakasha, Dr Meenakshi R. Patil, and Dr Lalita S. Admuthe. "Fingerprint Reconstruction: Approaches to Improve Fingerprint Images." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 15, no. 1 (March 29, 2024): 75–87. http://dx.doi.org/10.58346/jowua.2024.i1.006.
Full textAbstract:
Fingerprint reconstruction methods have been initially proposed to spoof the fingerprint identification systems, wherein the fingerprints are generated from the fingerprint features stored in the database for template matching/identification purpose. The reconstructed fingerprints attempt to validate in the absence of the user/person. The poor fingerprint Images with scratches on fingerprint image or latent fingerprints or overlapping fingerprints shall also be reconstructed for personality identification. In this paper we discuss the two fingerprint reconstruction methods, one which uses minutiae features for reconstruction and the other one uses deep learning methods to reconstruct the fingerprint images. The poor fingerprint image which fails to validate the identity due to various reasons like poor skin condition/large cuts on the fingers/wet fingers/poor scanning of images shall be reconstructed for increasing the matching accuracy. The requirement of performance measure parameters used for evaluation of these systems are equal error rate, false acceptance rate, false rejection rate and average matching score. The deep learning methods are more suitable for reconstructing the fingerprint images that appear damaged due to poor skin condition/large cuts on the fingers/wet fingers/poor scanning of images. In terms of matching score comparison, the deep learning methods have matching scores in between 23-94% whereas for minutiae-based techniques the matching score is between 82 and 99.99%. The other performance parameter is the equal error rate (ERR) required to meet has to be closer to 0. The matching score is computed with the assumptions of false acceptance rate (FAR) ranging from 1% to 0%.
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Popov, Vladimir. "The Problem of Selection of Fingerprints for Topological Localization." Applied Mechanics and Materials 365-366 (August 2013): 946–49. http://dx.doi.org/10.4028/www.scientific.net/amm.365-366.946.
Full textAbstract:
Visual navigation is extensively used in contemporary robotics. In particular, we can mention different systems of visual landmarks. In this paper, we consider one-dimensional color panoramas. Panoramas can be used for creating fingerprints. Fingerprints give us unique identifiers for visually distinct locations by recovering statistically significant features. Fingerprints can be used as visual landmarks for mobile robot navigation. In this paper, we consider a method for automatic generation of fingerprints. Since a fingerprint is a circular string, different string-matching algorithms can be used for selection of fingerprints. In particular, we consider the problem of finding the consensus of circular strings under the Hamming distance metric.