Journal articles on the topic 'Latent fingerprints'

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1

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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2

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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3

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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4

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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5

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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6

Chaudhary, Neha, and Priti Dimri. "LATENT FINGERPRINT IMAGE ENHANCEMENT BASED ON OPTIMIZED BENT IDENTITY BASED CONVOLUTIONAL NEURAL NETWORK." Indian Journal of Computer Science and Engineering 12, no. 5 (October 20, 2021): 1477–93. http://dx.doi.org/10.21817/indjcse/2021/v12i5/211205124.

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Fingerprints are unique biometric systems (BSs) in which none of the human possesses similar fingerprint structures. It is one of the most significant biometric processes used in the identification of criminals. Latent fingerprints or latents are generated mainly by the finger sweat or oil deposits which is left by the suspects unintentionally. The impressions of latents are blurred or smudgy in nature and not viewed by naked eye. These fingerprints are of low quality, corrupted by noise, degraded by technological factors and exhibit minor details. Latents display consistent structural info when observed as an image. Image Enhancement is necessary in latents, to transform the latent (noisy) image into fine-quality (enhanced) image. In this work, a new image enhancement approach named BI-CNN (Bent Identity-Convolution Neural Network) with Spatial Pyramid Max Pooling (SPMP) model optimized using TSOA (Tunicate Swarm Optimization Algorithm) is presented to produce an enhanced latent at the output. This procedure involves the integration of ROI (Region Of Interest) Estimation, Anisotropic Gaussian Filter (AGF) based Pre-filtering, Fingerprint alignment using Sobel Filter, Intrinsic Feature patch extraction using Optimized BI-CNN, GAT (Graph Attention) network based Similarity Estimation followed by image reconstruction and feedback module. The implementation tool used in this work is PYTHON platform. The proposed optimized BI-CNN framework tested on dual public datasets namely IIITD-latent finger print and IIITD-MOLF have shown enhanced outcomes. Thus, the IIITD -latent fingerprint database obtained 83.33% on Rank-10 accuracy and 39.33% on Rank-25 accuracy.
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7

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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8

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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9

Kar, Aditya Kumar. "A Review on Nanomaterials for Developing Latent Fingerprint." International Journal of Forensic Sciences 7, no. 3 (2022): 1–6. http://dx.doi.org/10.23880/ijfsc-16000268.

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Forensics has become a more interesting scientific topic to investigate with the advancement in science and technology in which nanomaterials have attracted a lot of attention in the field of nano-forensic research. Fingerprints are important evidence in any crime scene, and nano-based techniques have a lot of potential in fingerprint investigations in the future. Fingerprints have often been and still are considered one of the most valuable types of physical evidence for personal identification. The prints left behind at a crime scene are usually latent (invisible) fingerprints and thus, the distinct ridge details of fingerprints can be obtained by applying different nanoparticles such as silver, zinc oxide, silicon dioxide, aluminium oxide, gold, carbon and silica on a variety of object surfaces, with gold being the most commonly used. The use of nanoparticles can improve the quality and stability of latent fingerprints. As a result, this review study focuses on the use of various nanomaterials in the development and detection of latent fingerprints.
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10

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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11

Menzel, E. Roland. "Recent Advances in Photoluminescence Detection of Fingerprints." Scientific World JOURNAL 1 (2001): 498–509. http://dx.doi.org/10.1100/tsw.2001.76.

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Photoluminescence detection of latent fingerprints has over the last quarter century brought about a new level of fingerprint detection sensitivity. The current state of the art is briefly reviewed to set the stage for upcoming new fingerprint processing strategies. These are designed for suppression of background fluorescence from articles holding latent prints, an often serious problem. The suppression of the background involves time-resolved imaging, which is dealt with from the perspective of instrumentation as well as the design of fingerprint treatment strategies. These focus on lanthanide chelates, nanocrystals, and nanocomposites functionalized to label fingerprints.
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12

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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13

Wang, Haiping, Dongbo Mi, Wanxu Wang, Hongliang Zhang, Dongsheng Tong, Shengjiang Wang, and Feng Gao. "Latent Fingerprint Visualization and Subsequent DNA Extraction Using Electron Beam Evaporation of Metallic Ultra-Thin Films." Current Nanoscience 15, no. 3 (February 19, 2019): 248–53. http://dx.doi.org/10.2174/1573413714666180628155824.

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Background: Proper detection and subsequent extraction of biological evidence are crucial for crime scene reconstruction. Vacuum metal deposition is currently an effective technique used in latent fingerprint development. However, the established procedures commonly undergo a direct plasma bombardment, a high ablation fluence and/or a high temperature process in vacuum metal deposition system. Method: In this work, electron beam evaporation (EBE) was used to investigate the development of latent fingerprints and subsequent DNA extraction of biological evidence. Gold or copper is preferentially nucleated on the background surfaces rather than the fingerprint residues due to the difference of the nature of the surface, which indicates that the gold / copper and copper agglomerates are binding to the fingerprint valleys not the ridges of the fingerprint, revealing bright patterns with excellent ridge detail clarity on black surfaces. Result: It is demonstrated that the co-extraction of the latent fingerprints and DNA is attributed to electron beam evaporated one-step process with relatively low energy bombarding energetic species and neutral particles, less possibility of contamination and without toxic and fluorine-based gases. Conclusion: Our results demonstrate that EBE is a promising technique for the latent fingerprints and DNA co-extraction.
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14

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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15

Allred, Clay E., Tao Lin, and E. Roland Menzel. "Lipid-Specific Latent Fingerprint Detection: Fingerprints on Currency." Journal of Forensic Sciences 42, no. 6 (November 1, 1997): 14251J. http://dx.doi.org/10.1520/jfs14251j.

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16

Hameed, Hadeel Faroak, Alaa K. Mohammed, and Dheaa S. Zageer. "Comparative Study between Activated Carbon and Charcoal for the Development of Latent Fingerprints on Nonporous Surfaces." Al-Khwarizmi Engineering Journal 18, no. 4 (December 1, 2022): 1–13. http://dx.doi.org/10.22153/kej.2022.09.001.

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For criminal investigations, fingerprints remain the most reliable form of personal identification despite developments in other fields like DNA profiling. The objective of this work is to compare the performance of both commercial charcoal and activated carbon powder derived from the Alhagi plant to reveal latent fingerprints from different non-porous surfaces (cardboard, plain glass, aluminum foil sheet, China Dish, Plastic, and Switch). The effect of three variables on activated carbon production was investigated. These variables were the impregnation ratio (the weight ratio of KOH: dried raw material), the activation temperature, and the activation time. The effect factors were investigated using Central Composite Design (CCD) software. The optimum activation conditions were found as an impregnation ratio of 1:2.6, activated time of 160 min, and temperature of 630oC. The results of the comparison show that Alhagi active carbon powder (AAC) has a high ability to develop latent fingerprints on all surfaces except on plastic surfaces while the commercial charcoal failed to develop the latent fingerprint on both plastic and aluminum foil sheets surfaces. AAC was found to clearly show every feature of the latent fingerprints more than commercial charcoal for both males and females. Also, AAC has the ability to show latent fingerprints till 15 days while commercial charcoal has the ability to show latent fingerprints just till 7 days.
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17

Broncová, Gabriela, and Tereza Slaninová. "Visualization Methods of Latent Fingerprints on Metal Substrates/Cartridges." Chemické listy 116, no. 10 (October 15, 2022): 599–606. http://dx.doi.org/10.54779/chl20220599.

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Despite the development of DNA analysis methods, fingerprint comparisons are still the most common and credible way to identify people when clarifying crimes and other forensically relevant events. Visualization of fingerprints applied to a metal surface, which may be curved (most often cartridges), often represents a difficult task, so that new methods are constantly being developed to get a high-quality visibility of fingerprints. This work describes the most important methods of visualization of fingerprints applied on metal substrates and especially on cartridge cases. So far, there is no suitable technique for making fingerprints visible on fired cartridges. Gun blue techniques, combined techniques with cyanoacrylate and, more recently, electrochemical deposition of polymer films potentiostatically or by cyclic voltammetry, which are fast, cheap and usable in the field, represent a promi­sing way.
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18

Il Dueik, Issa M. A., and Gordon A. Morris. "Latent Fingerprint Enhancement Using Tripolyphosphate-Chitosan Microparticles." International Journal of Carbohydrate Chemistry 2013 (February 21, 2013): 1–4. http://dx.doi.org/10.1155/2013/615124.

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Chitosan has been widely used in the preparation of microparticles for drug delivery; however, it has not been considered in forensic applications. Tripolyphosphate- (TPP-) chitosan microparticles were formed using ionotropic gelation in the presence of a coloured dye and deposited onto latent fingerprints enabling fingerprint identification.
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19

Bouldin, Kimberly K., and E. Roland Menzel. "Latent Fingerprint Detection with SYPRO®Rose Plus Protein Blot Stain." Scientific World JOURNAL 2 (2002): 542–45. http://dx.doi.org/10.1100/tsw.2002.133.

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Lanthanide complexes are employed in photoluminescence detection of fingerprints because their long luminescence lifetimes allow use of time-resolved imaging techniques to suppress problematic background fluorescence. To date, however, these complexes have been unsuccessful when used in developing old fingerprints on porous substrates. SYPRO®Rose Plus Protein Blot Stain remedies this shortcoming; it lends itself to smooth surfaces as well, thus having potential as a universal fingerprint reagent.
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20

Cheng, Kwan H., Jacob Ajimo, and Wei Chen. "Exploration of Functionalized CdTe Nanoparticles for Latent Fingerprint Detection." Journal of Nanoscience and Nanotechnology 8, no. 3 (March 1, 2008): 1170–73. http://dx.doi.org/10.1166/jnn.2008.18166.

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The potential of using water-soluble photoluminescent nanoparticles of different sizes for latent fingerprint detection has been explored. In this pilot study, green (582nm) and red (755 nm) CdTe nanocrystals coated with thioglycolic acid were used. Latent fingerprints on aluminum and glass surfaces were successfully labeled with these nanoparticles for time periods ranging from 30 min to 24 h. The labeling is probably due to the amidation reaction between the surface carboxylic groups of the nanoparticles with the amine groups of the biomaterials present in the fingerprint residues. The 582nm emitting nanoparticles appeared to better label the fingerprint ridges than did the 755 nm emitting ones for both surfaces. However, the 755 nm emitting nanoparticles were able to target the sweat pores within the ridges of the fingerprints. Other than high quantum yield and photostability, the tunable emission wavelength, the narrow bandwidth, the customizable surface characteristics, and the relatively long fluorescence decay lifetime of these nanoparticles are useful and necessary features for the future development of ultra-sensitive, target-specific, background suppressed latent fingerprint detection for forensic applications.
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21

James, Jonathan D., C. Anthony Pounds, and Brian Wilshire. "Obliteration of Latent Fingerprints." Journal of Forensic Sciences 36, no. 5 (September 1, 1991): 13159J. http://dx.doi.org/10.1520/jfs13159j.

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22

Wang, Yun Xin, Ting Luo, Li Ting Ouyang, and Da Yong Wang. "Phase Contrast Imaging of the Fingerprint by Digital Holography." Advanced Materials Research 718-720 (July 2013): 2443–47. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2443.

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Aiming to the special demand of the criminal investigation, a non-invasive and non-contact fingerprint acquisition method is proposed based on digital holography. The off-axis Fresnel digital holography is designed to record the digital hologram. The reconstruction of the complex amplitude from fingerprint is analyzed, and the phase aberration is corrected by the surface fitting based on the least square approach. In the scene of the crime, the fingerprint of suspects is easily left on some smooth surfaces. In the experiments, the CD-ROM disk with fingerprint information is used as the sample. The results show that the amplitude and phase images can be obtained and combined to capture more information of latent fingerprints, which demonstrates digital holography is effective for the acquisition of latent fingerprints and can be applied to the criminal investigation field.
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23

Grant, Ashleigh, T. J. Wilkinson, Derek R. Holman, and Michael C. Martin. "Identification of Recently Handled Materials by Analysis of Latent Human Fingerprints Using Infrared Spectromicroscopy." Applied Spectroscopy 59, no. 9 (September 2005): 1182–87. http://dx.doi.org/10.1366/0003702055012618.

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Analysis of fingerprints has predominantly focused on matching the pattern of ridges to a specific person as a form of identification. The present work focuses on identifying extrinsic materials that are left within a person's fingerprint after recent handling of such materials. Specifically, we employed infrared spectromicroscopy to locate and positively identify microscopic particles from a mixture of common materials in the latent human fingerprints of volunteer subjects. We were able to find and correctly identify all test substances based on their unique infrared spectral signatures. Spectral imaging is demonstrated as a method for automating recognition of specific substances in a fingerprint. We also demonstrate the use of attenuated total reflectance (ATR) and synchrotron-based infrared spectromicroscopy for obtaining high-quality spectra from particles that were too thick or too small, respectively, for reflection/absorption measurements. We believe the application of this rapid, nondestructive analytical technique to the forensic study of latent human fingerprints has the potential to add a new layer of information available to investigators. Using fingerprints to not only identify who was present at a crime scene, but also to link who was handling key materials, will be a powerful investigative tool.
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HERNÁNDEZ-PALANCAR, JOSÉ, ALFREDO MUÑOZ-BRISEÑO, and ANDRÉS GAGO-ALONSO. "USING A TRIANGULAR MATCHING APPROACH FOR LATENT FINGERPRINT AND PALMPRINT IDENTIFICATION." International Journal of Pattern Recognition and Artificial Intelligence 28, no. 07 (October 14, 2014): 1460004. http://dx.doi.org/10.1142/s0218001414600040.

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The identification of fingerprints and palmprints is considered a challenging research line in Biometrics. Nowadays, the accuracy of these techniques highly depends on the quality of the involved impressions, specially if the matching is performed in latent cases. In the present work, a new algorithm that reports a high accuracy in both cases is presented. This proposal requires a minimum amount of manually marked information in latent impressions and deals successfully with problems of missing and spurious minutiae. Moreover, we improved a verification algorithm based on a previously introduced feature model. The algorithm uses a strategy for finding adaptable local matches between substructures obtained from images. The experimental results show that our proposal achieves high accuracy for all cases, despite the major differences that exist between a palmprint and a fingerprint. For latent fingerprint identification our approach shows its robustness in retrieving 258 latents from different size scale of the background dataset, achieving a rank-1 identification rate over 57% in all cases. Carrying out a similar experimentation for latent palmprint identification, our approach achieved a rank-1 identification rate over 75%.
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Clark, Steve, Michael N. Quigley, and James Tezak. "Chemical detection of latent fingerprints." Journal of Chemical Education 70, no. 7 (July 1993): 593. http://dx.doi.org/10.1021/ed070p593.

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Askarin, Mohammad Mogharen, KokSheik Wong, and Raphael C. ‐W Phan. "Planting attack on latent fingerprints." IET Biometrics 7, no. 5 (December 21, 2017): 396–404. http://dx.doi.org/10.1049/iet-bmt.2016.0113.

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27

Xu, Linru, Yan Li, Suozhu Wu, Xianghong Liu, and Bin Su. "Imaging Latent Fingerprints by Electrochemiluminescence." Angewandte Chemie 124, no. 32 (July 2, 2012): 8192–96. http://dx.doi.org/10.1002/ange.201203815.

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28

Bramble, S. K., K. E. Creer, W. Gui Qiang, and B. Sheard. "Ultraviolet luminescence from latent fingerprints." Forensic Science International 59, no. 1 (April 1993): 3–14. http://dx.doi.org/10.1016/0379-0738(93)90306-u.

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Xu, Linru, Yan Li, Suozhu Wu, Xianghong Liu, and Bin Su. "Imaging Latent Fingerprints by Electrochemiluminescence." Angewandte Chemie International Edition 51, no. 32 (July 2, 2012): 8068–72. http://dx.doi.org/10.1002/anie.201203815.

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30

Godara, Vanisha, Vinay Aseri, Sneha Lohar, Poonam Kumari, Badal Mavry, Varad Nagar, Ashrut Singhal, Apoorva Singh, Kumud Kant Awasthi, and Mahipal Singh Sankhla. "Comparative study of rose and hibiscus petals powders in latent friction ridge analysis." Problems of Forensic Sciences, no. 130-131 (December 29, 2022): 145–55. http://dx.doi.org/10.4467/12307483pfs.22.008.16817.

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Fingerprints are the friction ridges found on the fingers and palm of hands. These prints are considered the most valuable evidence in the court of law as these ridges provide uniqueness to every individual. Powder dusting is one of the prevalent approaches to developing fingerprints on various surfaces. This involves the application of finely formulated powders on the fingermark impression using a camel hair brush. in this article, we have used organic household waste materials like rose and hibiscus petals for developing the powders used in latent fingerprints development. The particle of powder gets adhered to sweat and moisture deposited on the surface of fingers, palm, and sole, which provide effective visualization and give the fingerprint details (minutiae). Finally, the formulation of the powder sticks to the ridges, and the excess powder is blown away. The powder is multicolored in this case, the patterns are apparent, resulting in an exceptional outcome. The objective of the study is to provide a replacement to the conventional, expensive and toxic laboratory powders. These organic powders are easily available, eco-friendly, cost-effective and non-toxic approach for latent fingerprint development and is a reliable technique to use at crime scene and future use.
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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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Yang, Jun-Ho, and Jack J. Yoh. "Forensic Discrimination of Latent Fingerprints Using Laser-Induced Breakdown Spectroscopy (LIBS) and Chemometric Approaches." Applied Spectroscopy 72, no. 7 (March 23, 2018): 1047–56. http://dx.doi.org/10.1177/0003702818765183.

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A novel technique is reported for separating overlapping latent fingerprints using chemometric approaches that combine laser-induced breakdown spectroscopy (LIBS) and multivariate analysis. The LIBS technique provides the capability of real time analysis and high frequency scanning as well as the data regarding the chemical composition of overlapping latent fingerprints. These spectra offer valuable information for the classification and reconstruction of overlapping latent fingerprints by implementing appropriate statistical multivariate analysis. The current study employs principal component analysis and partial least square methods for the classification of latent fingerprints from the LIBS spectra. This technique was successfully demonstrated through a classification study of four distinct latent fingerprints using classification methods such as soft independent modeling of class analogy (SIMCA) and partial least squares discriminant analysis (PLS-DA). The novel method yielded an accuracy of more than 85% and was proven to be sufficiently robust. Furthermore, through laser scanning analysis at a spatial interval of 125 µm, the overlapping fingerprints were reconstructed as separate two-dimensional forms.
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Sari, Sri Adelila, and Dinda Hawari. "Biosynthesis of ZnO Nanoparticles using Lime Leaf Extract (Citrus auraantifolia) for Identification of Latent Fingerprints." JKPK (Jurnal Kimia dan Pendidikan Kimia) 7, no. 2 (August 31, 2022): 171. http://dx.doi.org/10.20961/jkpk.v7i2.62090.

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<p>Fingerprints are an identification tool in forensic science because of their unique properties. Unfortunately, some of the chemicals used in fingerprint powders are toxic and pose a potential health hazard. This study was conducted to analyze the ability of ZnO nanoparticles to identify latent fingerprints. ZnO nanopowder was synthesized with lime leaf extract using the green synthesis method with double-distilled water solvent and characterized by FT-IR at a wavenumber of 4000-400 cm<sup>-1</sup> and SEM-EDX analysis to provide information about the morphology and to detect the elemental composition nanoparticles. The average particle diameter through SEM was around 173.4 nm and formed a spherical with a rough surface with beige color. Identification of latent fingerprints using the powder dusting method on various porous surfaces (craft paper and greaseproof paper) and non-porous surfaces (glass preparations, aluminium foil, and compact disk) shows visualization with the characteristics of the ridges that look good and clear. The study showed the highest frequency of loops (47%), followed by double loops (20%), plain whorls (30%), and central pocket whorls pattern (3%) from 30 fingerprint samples consisting of 14 men and 16 women. Development identification fingerprints using TiO<sub>2</sub> show visualization more clearly because color contrast from bright white color and detail ridges is shown better with ZnO nanopowder.</p>
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Bhati, Kajol, Divya Bajpai Tripathy, Vignesh Kumaravel, Hemanth P. K. Sudhani, Sajad Ali, Rita Choudhary, and Shruti Shukla. "Sensitive Fingerprint Detection Using Biocompatible Mesoporous Silica Nanoparticle Coating on Non-Porous Surfaces." Coatings 13, no. 2 (January 23, 2023): 268. http://dx.doi.org/10.3390/coatings13020268.

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In recent years, the development and application of biocompatible nanomaterials in the detection of fingerprints have become a major focus for the forensic sector and crime investigators. This study aims to synthesize biocompatible silica nanoparticles (Si NPs) through cost-effective green methods and will be used to detect a latent fingerprint on a non-porous surface. As a type of environmentally friendly nanomaterial, Si NPs were prepared via an oil–water mixed micro-emulsion templating (MET) approach. Their characteristics and optical properties were measured using EDX-SEM, HR-TEM, FTIR, XRD, and UV–visible absorption. The biocompatibility of the synthesized Si NPs in terms of cell viability was observed, even at high concentrations (83.46% and 75.28% at 20 and 50 mg mL−1, respectively). The developed Si NPs were tested on different surfaces, including plastic, glass, silicon, steel, and soft plastic for the detection of crime scene fingerprints. In this research, it was found that the Si NPs were of the size of 100–150 nm. Results confirmed that synthesized mesoporous Si NPs can be used to detect latent fingerprints on multiple non-porous surfaces and were easy to detect under a UV lamp at 395 nm. These findings reinforce the suggestion that the developed Si NP coating has a high potential to increase sensitive and stable crime traces for forensic latent fingerprint detection, even in packaged food with different packaging surfaces.
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35

Ting, Chao Wen, Naji Arafat Mahat, Aida Rasyidah Azman, Nor Wajihan Muda, and Nurazira Anuar. "Performance of the Nanobio-Based Reagent for Visualising Wet Fingerprints Exposed to Different Levels of Water Salinity." Journal of Clinical and Health Sciences 6, no. 1(Special) (June 30, 2021): 32. http://dx.doi.org/10.24191/jchs.v6i1(special).13169.

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Introduction: Recovery of evidence such as murder weapons in waterways has been commonly reported. However, visualising latent fingerprints on the immersed substrates may prove challenging due to its obliteration by physicochemical parameters (e.g. pH, temperature, salinity) as well as the mechanical effect of water. Although the use of Small Particle Reagent (SPR) for visualising latent fingerprints on wet non-porous substrates has been suggested, it contains molybdenum and titanium that are toxic, and their utilisation must be reduced. Furthermore, no study verifies the chemical and/or physical interaction between SPR and the lipid constituents of wet latent fingerprints that leads to the visualisation of ridge details. Methods: The SPR and newly developed nanobio based reagent (NBR) i.e. Candida rugosa lipase-multiwalled carbon nanotubes (CRL-MWCNTs) were used for visualising latent fingerprints on glass slides immersed in water with salinitylevels representing those of estuary and swimming pool for up to 15 days. Results: It was observed that the quality of the visualised fingerprints using NBR was comparable with that of SPR. Characterisations via instrument and bioinformatics analyses have also verified the incorporation of CRL onto MWCNTs and the chemical interaction between NBR and lipid constituents of wet latent fingerprints. Conclusions: Therefore, the newly developed NBR may prove a promising relatively greener alternative for substituting SPR for visualising latent fingerprints on glass slides immersed in different levels of water salinity.
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36

Worley, Christopher G., Sara S. Wiltshire, Thomasin C. Miller, George J. Havrilla, and Vahid Majidi. "Detection of visible and latent fingerprints by micro-X-ray fluorescence." Powder Diffraction 21, no. 2 (June 2006): 136–39. http://dx.doi.org/10.1154/1.2204065.

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Numerous methods are available to forensic scientists for detecting fingerprints in which the prints are treated with various agents to enhance the visual contrast between the print and the surface. In the present work, the spatial elemental imaging capabilities of micro-X-ray fluorescence (MXRF) were used to visualize fingerprint patterns based on inorganic elements present in the prints. A major advantage of using MXRF is that the prints are left unaltered for other analyses, such as deoxyribonucleic acid extraction or for archiving. Most of the fingerprints which were examined were imaged from the potassium and chlorine present in the print residue. Among the various prints studied, lower count rates were also observed in the elemental maps of Ca, Al, Na, Mg, Si, P, S, and the X-ray source scatter. A sebaceous oily fingerprint left by one subject was successfully imaged by MXRF, but sebaceous prints left by a different person were undetectable, indicating that print elemental composition may be person and/or diet dependent. Prints containing substances that might be found in real-world cases were also visualized including sweat, lotion, saliva, and sunscreen.
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37

Fischer, Rachel, and Marco Oetken. "The spiced fingerprint ‐ superglue and curry powder let latent fingerprints fluoresce." CHEMKON 26, no. 8 (November 26, 2019): 352–54. http://dx.doi.org/10.1002/ckon.201900047.

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38

Harshita, Niranjan, Rai Shweta, Raikwar Kapil, Kamle Chanchal, and Mia Rakesh. "Unconventional powder method is a useful technique to determine the latent fingerprint impressions." Journal of Forensic Science and Research 6, no. 1 (August 23, 2022): 045–48. http://dx.doi.org/10.29328/journal.jfsr.1001035.

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Background: Fingerprint development techniques are being used for a long time and are considered one among the oldest methods in forensic science used to identify suspects. Fingerprints are one of the most significant types of physical evidence. There are various types of fingerprint patterns such as visible, plastic and latent. In criminal investigation cases, chance fingerprint impressions are mostly found at the crime scene. These prints are generally invisible and therefore require several development methods. The powder dusting technique of developing fingerprints involves the application of fine powder on the impression of the print with the help of a brush such as glass fiber or a camel hair brush. Main text: This paper rather focuses on various unconventional powder methods than the widely used conventional ones. This will help identify other cheaper, non-toxic powders that are commonly available as an alternative to the expensive, toxic ones. The author’s main aim is to provide a collective review of the work of other scientists in order to identify everyday materials, commonly available that can be used as possible means to develop a fingerprint impression. Conclusion: For a better result, the unconventional powder is used on different surfaces i.e. porous, non-porous, and semi-porous for latent fingerprint impressions. After developing impressions on different surfaces, we conclude our result that unconventional powder is very useful.
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Pattarith, Kongsak, Saksit Chanthai, and Rachadaporn Benchawattananon. "Fluorescent Labeling of Silica Gel Powder using Zingiber Montanum Extract fora Bright Latent Fingerprint Detection under UV Light." Oriental Journal Of Chemistry 37, no. 3 (June 30, 2021): 541–46. http://dx.doi.org/10.13005/ojc/370304.

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This research was to study the preparation of fluorescent dust powder to enhance the detection of ultra-bright latent fingerprints using natural plant extract associated with adsorption on silica gel particles by a simple and cheap method environmentally friendly. To study the physical and chemical properties of the fluorescent powder, various factors affecting the latent fingerprints detection including different surface characteristics, temperature, time, and overlapping passive fingerprints were investigated. From the results, it was found that the fingerprints on the surface of different materials could be performed, and gave good inspection trace,which can be seen with naked eye and appear brightly under UV light at a wavelength of 366 nm. For the persistence study of the latent fingerprints, it was also found that when kept it in a dark place at room temperature for 30 days, the fingerprints were still visible to the naked eye and glow clearly under UV light.In addition, the overlapping fingerprints can be clearly identified. Therefore, the study of the fluorescent silica gel dust powder demonstrates good performance,and it is a potential use to detect latent fingerprints as a witness in forensic processes.
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40

Wei, Tong, Jiachen Han, Le Wang, Jiaqi Tao, Hu Zhang, Da Xu, Sijing Su, Chao Fan, Wengang Bi, and Chun Sun. "Magnetic perovskite nanoparticles for latent fingerprint detection." Nanoscale 13, no. 27 (2021): 12038–44. http://dx.doi.org/10.1039/d1nr02829d.

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41

Loyola-González, Octavio, Emilio Francisco Ferreira Mehnert, Aythami Morales, Julian Fierrez, Miguel Angel Medina-Pérez, and Raúl Monroy. "Impact of Minutiae Errors in Latent Fingerprint Identification: Assessment and Prediction." Applied Sciences 11, no. 9 (May 4, 2021): 4187. http://dx.doi.org/10.3390/app11094187.

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We study the impact of minutiae errors in the performance of latent fingerprint identification systems. We perform several experiments in which we remove ground-truth minutiae from latent fingerprints and evaluate the effects on matching score and rank-n identification using two different matchers and the popular NIST SD27 dataset. We observe how missing even one minutia from a fingerprint can have a significant negative impact on the identification performance. Our experimental results show that a fingerprint which has a top rank can be demoted to a bottom rank when two or more minutiae are missed. From our experimental results, we have noticed that some minutiae are more critical than others to correctly identify a latent fingerprint. Based on this finding, we have created a dataset to train several machine learning models trying to predict the impact of each minutia in the matching score of a fingerprint identification system. Finally, our best-trained model can successfully predict if a minutia will increase or decrease the matching score of a latent fingerprint.
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42

JAN, Hamid, and Amjad ALI. "OPTIMIZATION OF FINGERPRINT SIZE FOR REGISTRATION." Applied Computer Science 15, no. 2 (June 30, 2019): 19–30. http://dx.doi.org/10.35784/acs-2019-10.

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The propose algorithm finds the optimal reduced size of latent fingerprint. The algorithm accelerates the correlation methods of fingerprint registration. The Algorithm is based on decomposition and reduction of fingerprint to one dimension form by using the adoptive method of empirical modes. We choose the most appropriate internal mode to determine the minimum distance between the extremes of empirical modes. We can estimate how many times the fingerprint in the first step of the comparison can be reduced so as not to lose the accuracy of registration. This algorithm shows best results as compared to conventional fingerprint matching techniques that strongly depends on local features for registration. The algorithm was tested on latent fingerprints using FVC2002, FVC2004 and FVC2006 databases.
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43

Abuaziz, Suliman S. S., and Suraboyina Pavani. "The Application for Using Grain Colloid Reagent and Traditional Methods to Detect the Latent Fingerprint on non-pours Surfaces." International Journal for Research in Applied Science and Engineering Technology 10, no. 10 (October 31, 2022): 1221–23. http://dx.doi.org/10.22214/ijraset.2022.47101.

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Abstract: To distinguish the fingerprints we utilize numerous strategies a portion of these are checked and obviously, the unique finger impression can demonstrate the wrongdoing and perceive the crook, in this paper research we foster another strategy by utilizing GCR colloid fluid, which contains a blend between zinc carbonate and some unique surfactants with crystal violet The GCR it was applied on the non-pours surface, this method it was effective for developing the latent fingerprint on another side we have developed latent fingerprint on the non-pours surfaces by using some chemical materials like black Ferric oxide powder and white powder (Talcum).
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44

Sheluhin, Oleg, Anna Vanyushina, Alexander Bolshakov, and Maksim Zhelnov. "The Impact of Digital Fingerprint Evolution on the Authenticity of Anonymous User Identification." Voprosy kiberbezopasnosti, no. 2(48) (2022): 72–86. http://dx.doi.org/10.21681/2311-3456-2022-2-72-86.

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Purpose of work – is to evaluate the effectiveness of software identification of anonymous users in the context of the evolution of digital fingerprints on their devices. Research method. Artificial intelligence technologies, including NLP (Natural Language Processing), methods of LSA (Latent semantic analysis), as well as methods of clustering and machine learning. Objects of study are theoretical and practical issues of solving and visualizing information security problems. Results of the study. To study the impact of the evolution of digital fingerprints of analyzed devices, by alternately changing the analyzed parameters of the original fingerprint (a digital fingerprint of a browser or digital device), a database of modified fingerprints was created. A calculation technique is proposed and numerical results are presented for estimating the probability of correct and false user identifications during the evolution of the attributes of digital fingerprints. The dependence of the effectiveness of user deanonymization depending on the characteristics and properties of the variable attributes of digital fingerprints of his devices is shown. Practical relevance relevance. To improve the efficiency of anonymous user identification systems based on the analysis of device digital fingerprints. The proposed article will be useful both to specialists developing information security systems and to students studying “Information Security” course.
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45

Priyanka and Shabeena. "A review on recovery of latent fingerprints on different substrates immersed under muddy water." IP International Journal of Forensic Medicine and Toxicological Sciences 7, no. 1 (April 15, 2022): 4–7. http://dx.doi.org/10.18231/j.ijfmts.2022.002.

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Fingerprints are most affirmative evidence for personal identification found at crime scene. However, its quite tedious and crucial to develop and identify the latent fingerprints from destructive crime scene conditions. Although some may believe that evidence recovered underwater will have no forensic value, but forensic research shows that identifiable fingerprints may still be developed. In this paper, we have discussed that it is possible to develop latent fingerprints from non-porous and porous materials disposed of in muddy water by using different powders available in the home. All the samples were disposed of in containers containing muddy water and then different techniques were used for the recovery of latent fingerprints. In this paper, economical, simple, and easily available powders have been chosen to recover the latent prints on five frequently encountered different substrates i.e., plastic, glass, metal plates, aluminium foil, cardboard, glossy-painted wooden substrates. It is examined that it shows very good and clear results on most of the surfaces with clear ridge characteristics.
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Sodhi, Gurvinder S., and Jasjeet Kaur. "Chemical Methods for Developing Latent Fingerprints." Journal of Chemical Education 76, no. 4 (April 1999): 488A. http://dx.doi.org/10.1021/ed076p488.

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47

Fischer, Rachel, and Marco Oetken. "Visualization of Latent Fingerprints on Aluminum." CHIMIA International Journal for Chemistry 73, no. 11 (November 1, 2019): 945–46. http://dx.doi.org/10.2533/chimia.2019.945.

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For aluminum, a new visualization method is presented in which copper is deposited electrochemically. The fingerprint on the aluminum (trace carrier) serves as an insulator as it prevents direct contact between electrolyte and aluminum. The decisive factor is the choice of an ammoniacal copper sulfate solution, which acts as a corrosion inhibitor due to the ammonia molecules. This enables uniform copper deposition on aluminum and thus the development of a clearly defined negative image.
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48

Sodhi, Gurvinder S., and Jasjeet Kaur. "Chemical Methods for Developing Latent Fingerprints." Journal of Chemical Education 76, no. 4 (April 1999): 488A. http://dx.doi.org/10.1021/ed076p488a.

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49

Friesen, J. Brent. "Activities Designed for Fingerprint Dusting and the Chemical Revelation of Latent Fingerprints." Journal of Chemical Education 92, no. 3 (December 24, 2014): 505–8. http://dx.doi.org/10.1021/ed500406v.

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50

Wang, Xiao, Tao Liao, Haiyan Wang, Hongxia Hao, Qinglai Yang, Hong Zhou, Yu Ma, Minjie Zhi, Jiahao Wang, and Ruihang Fan. "Novel Organic-Inorganic Hybrid Polystyrene Nanoparticles with Trichromatic Luminescence for the Detection of Latent Fingerprints." International Journal of Analytical Chemistry 2022 (March 7, 2022): 1–8. http://dx.doi.org/10.1155/2022/2230360.

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This article explored the application of novel organic-inorganic hybrid polystyrene nanoparticles (PSNPs) with trichromatic luminescence for the detection of latent fingerprints. The PSNPs were synthesized by encapsulated Eu(DBM)3phen, coumarin 6, and FDBT into the polystyrene nanoparticles through the swelling method and applied them to visualize latent fingerprints. The PSNPs had a spherical morphology with an average diameter of 310.7 nm, and they emitted trichromatic fluorescence (525 nm/570 nm/610 nm) under 365 nm excitation wavelength with green/yellow/red color under filters. They were less likely to aggregate, float or stain the background when treating fingerprints. The developed fingerprints with excellent clarity of ridges and contrast could be viewed, and the digital magnification of fluorescence-developed fingerprints provided more minutiae details about some regional patterns. The colorimetric and fluorescent trichromatic light could provide complementary signals without the background interference from fluorescent substrates and/or complex multicolor surfaces, which improved the applicability of fluorescent nanoparticles for fingerprints development. PSNPs are promising for the detection of latent fingerprints and practical criminal investigations with their ease of operation, eco-friendly properties, and excellent trichromatic optical performance.
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