Relevant bibliographies by topics / Latent fingerprints

Academic literature on the topic 'Latent fingerprints'

Author: Grafiati
Published: 10 December 2022
Last updated: 9 March 2023

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Journal articles on the topic "Latent fingerprints"

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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Latent fingerprints"

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Beresford, Ann Louise. "The electrochromic enhancement of latent fingerprints on metal surfaces." Thesis, University of Leicester, 2013. http://hdl.handle.net/2381/28169.

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Fingerprints are unique to individuals and have been used as a method of identification in criminal investigations since the late nineteenth century. The majority of fingerprints are latent, i.e. non-visible, and require enhancement for their visualisation. Although many methods have been developed for this purpose, the recovery rate in the form of a useable print, is still disappointingly low for metallic surfaces, especially from discharged cartridges. This work aimed to explore the application of a new technique to utilise the insulating properties of fingerprint deposits, on a range of metallic surfaces. Fingerprint residue can ‘mask’ the surface preventing the electrochemical deposition of a reagent on the bare surface. Here, this takes the form of two different electrochromic polymers, polyaniline and poly-3,4-ethylenedioxythiophene, to produce a negative image of the print. Fingerprint samples were subjected to diverse environments for a range of time intervals. The enhancements were graded on a five point scale devised by Bandey, where prints graded 0-2 are considered unusable and prints graded 3-4 are usable for identification purposes. Using this scale the technique was assessed in a comparative study with existing methods (powder dusting, wet powder and superglue fuming). The outcomes identified superglue fuming as least effective and poly-3,4-ethylenedioxythiophene to be the material of choice when an sample’s history was unknown. Exploitation of the polymer’s electrochromic properties (oxidation/reduction via applied electric potential), to optimise contrast between print and substrate, resulted in the upgrading (from unusable to useable) of 16 % of samples. Project objectives were achieved; the technique was applied to challenging surfaces via the progression from model substrates to alloys to evidentially viable items. Latent fingerprints were enhanced on stainless steel, nickel plated brass, copper, lead and most importantly previously fired brass cartridges.
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Dean, Kristina. "Degradability of both a physical latent fingerprint and its associated extracted DNA." [Cedar City, Utah] : Southern Utah University, 2009. http://unicorn.li.suu.edu/ScholarArchive/ForensicScience/DeanKristina.pdf.

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Bell, Duncan J. "Improving the matching of latent fingerprints on tightly curved surfaces using stereopsis." Thesis, University of Sheffield, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540935.

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Costa, Catia. "Development of a confirmatory test for cocaine and metabolites in latent fingerprints." Thesis, University of Surrey, 2017. http://epubs.surrey.ac.uk/813889/.

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This thesis investigates the possibility of using ambient ionisation and surface mass spectrometry for the detection and quantification of drugs of abuse in latent fingerprints. The use of fingerprints for drug testing in lieu of blood, oral fluid or urine reduces the biological hazard associated with these types of samples. The sample collection procedure is non-invasive, can be monitored to prevent cheating (submitting samples from a drug free individual) and the identity of the donor is embedded in the fingerprint ridge detail. In this thesis, three techniques – desorption electrospray ionisation (DESI), liquid extraction surface analysis (LESA) and paper spray mass spectrometry, were evaluated for their ability to provide a rapid drug test from a fingerprint. Paper spray-mass spectrometry was chosen for further development due to the ease of set-up, rapid nature of the analysis and potential to provide quantitative results. The final optimised method included full scan mass spectrometry measurements (quantitative) followed by tandem mass spectrometry (MS/MS) scans (qualitative) for the detection of cocaine, benzoylecgonine (BZE) and ecgonine methyl ester (EME). Limits of detection (LOD) were calculated to be 1 ng/mL, 2 ng/mL and 31 ng/mL for cocaine, BZE and EME, respectively. Using the optimised method of analysis, 159 individual fingerprint samples (collected from individuals seeking treatment for substance abuse) were analysed with a 99% true positive rate through the detection of either cocaine, BZE or EME. The detection of these substances was corroborated by a positive oral fluid result from samples collected from the same individuals. Analysis of fingerprint samples collected from the non-drug users (n=80) indicated < 2.5% false positive rate. The significance of detecting the parent drug or metabolite in fingerprint samples was determined through the analysis of samples after contact with seized cocaine from Forensic Science Ireland. Cocaine, BZE and EME were found in fingerprints produced by contact, showing that the presence of a cocaine metabolite in a fingerprint is not enough to show that a suspect has taken a drug. Furthermore, secondary transfer scenarios showed that cocaine could be transferred through handshakes. None of the hand cleaning methods employed in this research were sufficient to remove all traces of cocaine from contact residues. iii Finally, the possibility of visualising the fingerprint ridge detail prior to analysis was tested and the presence of the analytes was qualitatively confirmed in fingerprint samples after application of silver nitrate. This is an important step that allows for sample traceability, whilst still providing high throughput analysis and sensitivity.
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Putra, Saesario Laksmana. "Recovery of fresh latent fingerprints on black clothing fabrics using Lumicyano™." Thesis, Putra, Saesario Laksmana (2018) Recovery of fresh latent fingerprints on black clothing fabrics using Lumicyano™. Masters by Coursework thesis, Murdoch University, 2018. https://researchrepository.murdoch.edu.au/id/eprint/41512/.

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The importance of fingerprint evidence cannot be underestimated as it can provide valuable information pertaining to perpetrator of a crime. However, there is no recognised method for the enhancement of latent fingerprints on clothing fabrics. As a result, forensic laboratories rarely attempt to recover fingerprints from such substrates. Recently, new cyanoacrylate (CA) products such as Lumicyano™ have been developed. This method incorporates a fluorescent staining dye powder 3-chloro-6-ethoxy-1,2,4,5-tetrazine (C₄H₅ClN₄O) and liquid ethyl CA into a solution. Therefore, Lumicyano™ can develop fluorescent fingerprints in a one-stage fuming process without the need for an additional visualisation method apart from Forensic Light Source (FLS). The integration of fluorescent dye and CA into a mixture suggests that the fluorescent dye would selectively adhere to the polycyanoacrylate formed on the friction ridges of fingerprints. The readily visible fingerprints and the removal of the post-processing method indicate that Lumicyano™ could potentially be used on fabrics. Thus, this preliminary study aimed at assessing the efficacy of Lumicyano™ on recovering fresh latent fingerprints on black clothing fabrics. This was achieved by developing fresh latent fingerprints deposited on four different types of black clothing fabric materials; polyester, cotton, poly cotton, and nylon. The results showed that Lumicyano™ is an effective method to develop fresh latent fingerprints on black clothing fabrics. Furthermore, an indirect comparison between Lumicyano™ and silver VMD results obtained from another study was performed. The results suggest that Lumicyano™ is a better enhancement method to enhance fingerprints on black polyester and poly cotton fabrics than silver VMD. The fibre material, thread count, weave pattern of the clothing fabrics, and the fingerprint donor were proven to be important in determining the quality of the developed prints. Keywords: Forensic science, Fingerprint evidence, Lumicyano™, Fabric.
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Mumbo, Agatha Nyanduko. "The detection and recovery of latent fingerprints on clothing and fabric items." Thesis, Mumbo, Agatha Nyanduko (2019) The detection and recovery of latent fingerprints on clothing and fabric items. Masters by Coursework thesis, Murdoch University, 2019. https://researchrepository.murdoch.edu.au/id/eprint/53939/.

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Fingermarks recovered on fabrics from a crime scene can support the three aspects of forensic investigations; identification of the individuals involved and their association to each other and assist in reconstruction of the sequence of events. Currently, there are no recognized and generally accepted methods for the enhancement of fingerprints on fabrics due to the nature of the fabric composition. Cyanoacrylate fuming has been utilized in studies in fingerprint recovery on fabric. This method has proven to be effective for developing latent fingerprints on dark colored fabrics. On light-colored fabrics, the desired contrast isn't achieved as the CA developed prints appear as a whitish deposit. Post-treatment of CA fumed prints with fluorescent dye staining may improve the contrast, but it causes excessive background staining on the fabrics to surface. Cyanoacrylate fuming followed by Fourier transform infrared spectroscopy (CAF/FT-IR) has been proven to be the most successful method in enhancing finger-marks on smooth and shiny fabrics like silk, polyester, and nylon. However, the technique has drawbacks; time-consuming and the CA monomer selectively polymerized onto the friction ridges of the fingerprint on some fabrics but the challenges raised from obtaining contrast of prints developed on light-colored and pattern fabrics. Vacuum metal deposition has been utilized in studies in fingermark recovery on fabrics. Gold/zinc VMD developed fingermarks with great ridge detail on smooth and non-porous fabrics such as nylon whereas on rough and porous fabrics such as cotton, empty prints, and impression, rather than ridge details were visible. Silver VMD proved to be effective on polyester as it developed high-quality fingermarks that were attributed to the smooth, shiny and less porous tight weave of the fabric which helped retain the fingermark deposit. Silver VMD has proven to be effective for developing latent fingermarks on dark-colored fabrics and has an advantage over gold/zinc VMD in that marks visualized are light in color which contrasts well against the dark background, allows for assessment of the manner in which the fabric was touched, either by grab or press method and enables acquisition of touch DNA for identification purposes. One step fluorescent cyanoacrylate, Lumicyano™ has proven to be effective in developing fresh latent fingermarks on dark-colored clothing fabrics. High-quality fingermarks were obtained on synthetic fabrics (polyester and nylon) than natural fabric (cotton and polycotton). This is attributed to the less absorbent (more hydrophobic) nature of synthetic fabrics than natural fabrics, thus the fingerprint residues would remain on the surface of the synthetic fabric for a longer period. The aim of these studies was to investigate the effect of donor, fabric type, mark age and method of fingermark deposition on the quality of marks visualized using silver VMD, Lumicyano™, gold/zinc VMD, CAF & FT-IR, and CAF & iron oxide/carbon powder suspensions. KEYWORDS Vacuum metal deposition (VMD), Cyanoacrylate fuming (CAF), Lumicyano ™, Fingermarks, Fingermark enhancement, Fabrics, Palmar flexion creases, and Ridge detail
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Davis, Lloyd W. L. "Novel techniques for the development of latent fingermarks." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/32218.

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The scientific study of fingerprints/fingermarks—dactyloscopy—is one of the most important fields in forensic science today. Fingermarks are amongst the most common type of evidence recovered from crime scenes and are arguably the most valued due to the fact that they are, unlike deoxyribonucleic acid (DNA), completely unique to an individual. Fingermarks recovery techniques are constantly evolving and new reagents are always being sought. This project aims to develop and access new fingermark enhancement procedures. The efficacy of an ethanoic solution of phosphomolybdic acid, has been investigated as a latent fingermark enhancement reagent, primarily on porous substrates. After treating samples and exposing them to ultraviolet radiation, the phosphomolybdic acid solution was shown to develop fingermarks to a high quality. Unlike the common amino acid reagents used for the enhancement of fingermarks on porous substrates, ninhydrin and 1,8-diazafluoren-9-one, phosphomolybdic acid stains a range of other compounds found within fingermark deposits, including lipids. The lysochrome diazo dye Oil Red O was used for comparative purposes due to its application in staining some of the same components of fingermark residues that phosphomolybdic acid would be proposed for. Initial results indicate that phosphomolybdic acid is comparable to Oil Red O at developing fingermarks on porous surfaces and may also have applications on non-porous surfaces. A systematic evaluation of solvent carriers was conducted, and whilst many solvents were insufficient, others did show some potential. Primary alcohols such as ethanol, methanol and propan-1-ol all developed fingermarks with identifiable ridge detail. Attempts to mix phosphomolybdic acid with other reagents which react with different fingermark constituents than those phosphomolybdic acid targets were, for the most part unsuccessful. However, not entirely ruled out. Many substrates were tested to observe which developed fingermarks when treated with the phosphomolybdic acid solution. Whilst marks were detected on numerous substrates, paper proved to be the most receptive. Similar stains to the phosphomolybdic acid were tested under the same conditions, however, none were as effective as the phosphomolybdic acid. A non-destructive, non-invasive technique was developed, utilising cuprous metals and their reactions with rubeanic acid. By bringing substrates with fingermarks deposited upon their surface into contact with a copper or copper alloyed plate, it was possible to transfer the fingermark residues to the plate. Forensic gelatin lifters could then be used to lift the marks from the metal plates, these lifted marks could subsequently be treated with a rubeanic acid solution to visualise the fingermarks. The rubeanic acid reacted with the Cu(II) which had been transferred to the fingermark residues to produce a dark product in the pattern of fingermark ridges. The technique was successful at developing fingerprints on semi-porous substrates. The technique was as effective on non-porous substrates, such as glass, but an investigation into the process on porous surfaces was less positive. Attempts to reuse the cuprous metals for the transference of fingermarks after an initial lift resulted in double or ghosted marks being developed, after a thorough wash with soap and water. This was overcome by cleaning with the metal cleaner Brasso. Copper cleaned with Brasso was reused 5 times to show its effectiveness, and adverse effects were minimal. The UK s recent move to polymer banknotes has seen some of the currently used fingermark enhancement techniques for currency potentially become redundant, due to the substrate characteristics of the polymer surfaces. Possessing a non-porous surface with some semi-porous properties, alternate processes are required for polymer banknotes. A preliminary investigation was conducted in to the recovery of fingermarks from polymer notes via vacuum metal deposition using elemental copper. The study successfully demonstrated that fresh latent fingermarks, from an individual donor, could be clearly developed and imaged in the near infrared. By varying the deposition thickness of the copper, the contrast between the fingermark minutiae and the substrate could be readily optimised. Where the deposition thickness was thin enough to be visually indistinguishable, forensic gelatin lifters could be used to lift the fingermarks. These lifts could then be treated with rubeanic acid to produce a visually distinguishable mark. The technique has shown enough promise that it could be effectively utilised on other semi- and non-porous substrates. A follow up group study was less effective than the aforementioned initial study. Many samples were processed using the vacuum metal deposition; incorporating a comparison study between copper and the gold/zinc standard and a depletion trial. However, when imaging was attempted a week after treatment, the results experienced before were unable to be replicated. Attempts to recover samples of radioactive nickel isotope from metal substrates using forensic gel lifters were initially unexceptional. Wipe tests were more successful at recovering the isotope. Experimentation using some non-metallic substrates was more fruitful, the gel lifters were able to recover the radioisotope more readily. Autoradiography showed that, although a weak beta emitter, nickel could be imaged when in sufficient quantities. By using nickel and a short half-life isotope of phosphorus in conjunction with patterned stamps and patterned deposits it was possible to image these patterns by autoradiography of the gels used to lift from the substrates these were deposited upon. These autoradiography images showed enough detail to warrant attempts with a synthetic finger, however, the imaging was insufficient to image the fine details of the friction ridges. Fingermarks deposited on the surface of agar gels showed bacterial growth after incubation for 24 hours. Aseptic transfer of bacterial colonies to fresh agar plates in a typical streak pattern were fruitful. Further transference to a nutrient broth were effective, however, attempts to seed bacterial agar plates for use in inhibition tests were unsuccessful. Overall, phosphomolybdic acid proved to be relatively effective, being able to develop fingermarks on a number of substrates. The copper transfer method, although, less fruitful than PMA showed promise. This lead to the idea of gel lifting from copper VMD treated polymer banknotes which was much more effective. Although, the radioactive and biological techniques showed promise, they were unfortunately unsuccessful at developing fingermarks. A number of the techniques evaluated and developed were successful enough to be published in forensic journals.
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Munagani, Indira Priya Darshini. "Mining Rare Features in Fingerprints using Core points and Triplet-based Features." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/24784.

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A fingerprint matching algorithm with a novel set of matching parameters based on core points and triangular descriptors is proposed to discover rarity in fingerprints. The algorithm uses a mathematical and statistical approach to discover rare features in fingerprints which provides scientific validation for both ten-print and latent fingerprint evidence. A feature is considered rare if it is statistically uncommon; that is, the rare feature should be unique among N (N>100) randomly sampled prints. A rare feature in a fingerprint has higher discriminatory power when it is identified in a print (latent or otherwise). In the case of latent fingerprint matching, the enhanced discriminatory power from the rare features can help in delivering a confident court judgment. In addition to mining the rare features, a parallel algorithm for fingerprint matching on GPUs is also proposed to reduce the run-time of fingerprint matching on larger databases. Results show that 1) matching algorithm is useful in eliminating false matches. 2) each of the 30 fingerprints randomly selected to mine rare features have a small set of highly distinctive statistically rare features some of whose occurrence is one in 1000 fingerprints. 3) the parallel algorithm implemented on GPUs for larger databases is around 40 times faster than the sequential algorithm.
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Reip, Alexander. "Studies on the synthesis and use of rare earth doped nanophosphors for application on latent fingerprints." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11626.

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Nanotechnology has been increasingly employed in forensic science for the detection of latent fingerprints, using multiple techniques from new aluminium nanomaterials for dusting to quantum dot dispersions, to try to increase and enhance areas where prints are likely to be found at scenes of crime. Different substrates use a diverse range of methods to develop prints when they are found and each method has its own drawbacks. It is not viable to use many of these techniques in conditions other than in a laboratory due to the harmful environmental effects they can cause over long term use. With this in mind a new easier to use technique that can be used on any substrate from wood to glass to paper was looked into. A range of nano-sized rare earth phosphor precursors were synthesised using homogeneous precipitation and solid state methods which were then converted to phosphors by firing at 980oC. Eu3+ and Tb3+ doped Y2O3, YVO4 and Y2O2S were chosen for their luminescent intensity. Analysis of each of the phosphors was carried out using multiple techniques and a single host lattice chosen for continuation. Y2O3:Eu3+ and Y2O3:Tb3+ were coated using a modified Stöber process to try and decrease the agglomeration of particles as well as allowing for surface modification to take place. Modifications of the surface were prepared and analysed, and these particles were then used in multiple fingerprint examinations to examine the adherence on fingerprints of different ages. The surface modifications manifested great adherence to the fingerprint residue even after two weeks elapsed and showed great promise after a two year period.
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Yi, Renee. "Novel powder methods for the visualization of latent fingerprints: The case for tumeric and other spices." Thesis, Yi, Renee (2018) Novel powder methods for the visualization of latent fingerprints: The case for tumeric and other spices. Masters by Coursework thesis, Murdoch University, 2018. https://researchrepository.murdoch.edu.au/id/eprint/41444/.

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Abstract:
Human fingerprint is such an unique human identity that differ from person to person. Even a twin also don’t have an identical fingerprint. In a forensic investigation, the fingerprint is one of the most common evidence that can be found and considered valuable. It enables the possible identification of the person of interest in a criminal case. A latent fingerprint is an invisible fingerprint that maybe encountered in a crime scene. The process of enhancement is necessary for the latent fingerprint to be observed by naked eyes. Thus, it is an important process. The important consideration for the development of latent fingerprint is non-destructive to the evidence itself and the method is simple, easy and safe to the examiner. Powdering method is one of the most common and traditional method been used since the 19th century. The principle of the powdering method is adhesion of the powder particles towards the natural residues that found on a latent fingerprint. Previously, researchers used different materials as fingerprint powder used during powdering but limitations were found. Some of the materials are toxic and endanger human health. Besides this, some of the fingerprint powders do not provide sufficient contrast and sufficient details of the fingerprint after enhancement. Thus, this literature review aims to critically assess the current literature that related to the use of novel powders such as spices – (eg. Turmeric) in the development of a latent fingerprints. The method of latent fingerprint developed by turmeric powder will be performed again to verify the result of previous research. Furthermore, due to currently there are no studies that have investigated the use of other novel powders such as cinnamon and paprika in latent fingerprint development, this literature review will also explore the chemical composition of both spices in order to assess the potential for new natural fingerprint powder in future.
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Books on the topic "Latent fingerprints"

1

Mock, James P. Basic latent print development. Salem, Or: Lightning Powder Co., 1993.

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Stojanović, Branka, Oge Marques, and Aleksandar Nešković. Segmentation and Separation of Overlapped Latent Fingerprints. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23364-8.

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Tao, Lin. Detection of latent fingerprints on counterfeit currency. [s.l.]: [s.n.], 1996.

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Clements, Wendell W. The study of latent fingerprints: A science. Springfield, Ill., U.S.A: C.C. Thomas, 1987.

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International Forensic Symposium on Latent Prints (1987 Quantico, Va.). Proceedings of the International Forensic Symposium on Latent Prints. Washington, D.C: Laboratory Division, Federal Bureau of Investigation, United States Dept. of Justice, 1987.

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National Institute of Standards and Technology (U.S.), ed. Latent fingerprint training with NIST special database 27 and universal latent workstation. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2001.

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National Institute of Standards and Technology (U.S.), ed. Latent fingerprint training with NIST special database 27 and universal latent workstation. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2001.

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National Institute of Standards and Technology (U.S.), ed. Latent fingerprint training with NIST special database 27 and universal latent workstation. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2001.

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Michael, McCabe R., and National Institute of Standards and Technology (U.S.), eds. Fingerprint minutiae from latent and matching tenprint images. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2000.

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Sampson, William C. Recovery of latent fingerprint evidence from human skin: Causation, isolation and processing techniques. S.l: KLS Forensics, 1997.

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Book chapters on the topic "Latent fingerprints"

1

Stojanović, Branka, Oge Marques, and Aleksandar Nešković. "Latent Fingerprint Datasets." In Segmentation and Separation of Overlapped Latent Fingerprints, 9–20. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23364-8_2.

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Stojanović, Branka, Oge Marques, and Aleksandar Nešković. "Latent Fingerprint Matching Systems." In Segmentation and Separation of Overlapped Latent Fingerprints, 1–8. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23364-8_1.

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Feng, Jianjiang, Soweon Yoon, and Anil K. Jain. "Latent Fingerprint Matching: Fusion of Rolled and Plain Fingerprints." In Advances in Biometrics, 695–704. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01793-3_71.

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Stojanović, Branka, Oge Marques, and Aleksandar Nešković. "Overlapped Latent Fingerprints Segmentation: Problem Definition." In Segmentation and Separation of Overlapped Latent Fingerprints, 21–28. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23364-8_3.

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Stojanović, Branka, Oge Marques, and Aleksandar Nešković. "Overlapped Latent Fingerprints Separation: Problem Definition." In Segmentation and Separation of Overlapped Latent Fingerprints, 35–44. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23364-8_5.

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Wang, Meng, Qing Bao, and Chuanbin Mao. "Nanomaterial-Based Fluorescent Development of Latent Fingerprints." In Industrial Applications of Nanoparticles, 285–312. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003183525-16.

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Ramírez-Sáyago, Ernesto, Octavio Loyola-González, and Miguel Angel Medina-Pérez. "Towards Inpainting and Denoising Latent Fingerprints: A Study on the Impact in Latent Fingerprint Identification." In Lecture Notes in Computer Science, 76–86. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49076-8_8.

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Stojanović, Branka, Oge Marques, and Aleksandar Nešković. "Machine Learning Based Segmentation of Overlapped Latent Fingerprints." In Segmentation and Separation of Overlapped Latent Fingerprints, 29–34. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23364-8_4.

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Stojanović, Branka, Oge Marques, and Aleksandar Nešković. "Machine Learning Based Separation of Overlapped Latent Fingerprints." In Segmentation and Separation of Overlapped Latent Fingerprints, 45–51. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23364-8_6.

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Singh, P. J., I. J. S. Bansal, and I. J. Kaur. "Identification of ABH Blood Group Specific Substances from Latent Fingerprints." In Advances in Forensic Haemogenetics, 323–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71150-3_70.

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Conference papers on the topic "Latent fingerprints"

1

Sankaran, Anush, Tejas I. Dhamecha, Mayank Vatsa, and Richa Singh. "On matching latent to latent fingerprints." In 2011 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2011. http://dx.doi.org/10.1109/ijcb.2011.6117525.

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Jain, Anil K., Jianjiang Feng, Abhishek Nagar, and Karthik Nandakumar. "On matching latent fingerprints." In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2008. http://dx.doi.org/10.1109/cvprw.2008.4563117.

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Choi, Heeseung, Maurilio Boaventura, Ines A. G. Boaventura, and Anil K. Jain. "Automatic segmentation of latent fingerprints." In 2012 IEEE Fifth International Conference On Biometrics: Theory, Applications And Systems (BTAS). IEEE, 2012. http://dx.doi.org/10.1109/btas.2012.6374593.

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Si, Xuanbin, Jianjiang Feng, and Jie Zhou. "Enhancing latent fingerprints on banknotes." In 2014 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2014. http://dx.doi.org/10.1109/btas.2014.6996235.

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McGuigan, Matthew, and Jacqueline Christmas. "Remote Extraction of Latent Fingerprints (RELF)." In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. http://dx.doi.org/10.1109/ijcnn48605.2020.9207376.

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Yang, Xiao, Jianjiang Feng, Jie Zhou, and Shutao Xia. "Detection and segmentation of latent fingerprints." In 2015 IEEE International Workshop on Information Forensics and Security (WIFS). IEEE, 2015. http://dx.doi.org/10.1109/wifs.2015.7368604.

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Liqing, Ling, Huang Lihua, Guo Kai, and Huang Huijie. "Detection of latent fingerprints on papers." In Fourteenth National Conference on Laser Technology and Optoelectronics, edited by Jianqiang Zhu, Zhenxi Zhang, Minlin Zhong, Jianrong Qiu, Weibiao Chen, and Pu Wang. SPIE, 2019. http://dx.doi.org/10.1117/12.2533904.

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Kuznetsov, V. A., Jadranka Sunde, and Michael Thomas. "Explosive blast effects on latent fingerprints." In 1st International ICST Conference on Forensic Applications and Techniques in Telecommunications, Information and Multimedia. ACM, 2008. http://dx.doi.org/10.4108/e-forensics.2008.2676.

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Duan, Yongjie, Jianjiang Feng, Jiwen Lu, and Jie Zhou. "Orientation Field Estimation for Latent Fingerprints with Prior Knowledge of Fingerprint Pattern." In 2021 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2021. http://dx.doi.org/10.1109/ijcb52358.2021.9484334.

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Ramaiah, N. Pattabhi, A. Tirupathi Rao, and C. Krishna Mohan. "Enhancements to latent fingerprints in forensic applications." In 2014 International Conference on Digital Signal Processing (DSP). IEEE, 2014. http://dx.doi.org/10.1109/icdsp.2014.6900702.

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Reports on the topic "Latent fingerprints"

1

Lee, Paul, Haiying Guan, Andrew Dienstfrey, Mary Theofanos, Brian Stanton, and Matthew T. Schwarz. Forensic latent fingerprint preprocessing assessment. Gaithersburg, MD: National Institute of Standards and Technology, June 2018. http://dx.doi.org/10.6028/nist.ir.8215.

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Dvornychenko, Vladimir N., and Michael D. Garris. Summary of NIST latent fingerprint testing workshop. Gaithersburg, MD: National Institute of Standards and Technology, 2006. http://dx.doi.org/10.6028/nist.ir.7377.

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Indovina, M., R. A. Hicklin, and G. I. Kiebuzinski. ELFT-EFS Evaluation of Latent Fingerprint Technologies :. Gaithersburg, MD: National Institute of Standards and Technology, 2011. http://dx.doi.org/10.6028/nist.ir.7775.

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Garris, Michael D. Latent fingerprint training with NIST special database 27 and universal latent workstation. Gaithersburg, MD: National Institute of Standards and Technology, 2001. http://dx.doi.org/10.6028/nist.ir.6799.

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Guan, Haiying, Andrew Dienstfrey, Mary Theofanos, and Brian Stanton. A Measurement Metric for Forensic Latent Fingerprint Preprocessing. National Institute of Standards and Technology, July 2014. http://dx.doi.org/10.6028/nist.ir.8017.

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Carasso, Alfred S. Alternative Methods of Latent Fingerprint Enhancement and Metrics for Comparing Them. Gaithersburg, MD: National Institute of Standards and Technology, January 2013. http://dx.doi.org/10.6028/nist.ir.7910.

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Dvornychenko, V. N., and G. W. Quinn. Exploring the Methodology and Utility of Standardized Latent Fingerprint Matcher Scoring. National Institute of Standards and Technology, March 2014. http://dx.doi.org/10.6028/nist.ir.7992.

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Indovina, Michael, V. Dvornychenko, R. A. Hicklin, and G. I. Kiebuzinski. ELFT-EFS Evaluation of Latent Fingerprint Technologies: Extended Feature Sets [Evaluation #2]. National Institute of Standards and Technology, May 2012. http://dx.doi.org/10.6028/nist.ir.7859.

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Orandi, Shahram, John M. Libert, John D. Grantham, Frederick R. Byers, Lindsay M. Petersen, and Michael D. Garris. Effects of JPEG 2000 Lossy Image Compression on 1000 ppi Latent Fingerprint Casework. National Institute of Standards and Technology, October 2013. http://dx.doi.org/10.6028/nist.ir.7780.

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Carasso, Alfred S. The Use of ‘Slow Motion’ Levy Stable Fractional Diffusion Smoothing In Alternative Methods of Latent Fingerprint Enhancement. National Institute of Standards and Technology, April 2013. http://dx.doi.org/10.6028/nist.ir.7932.

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