The detection of finger-prints on documents

Mitchell, C. Ainsworth

doi:10.1039/an9204500122

Cited by 15 publications

(7 citation statements)

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“…The first reagent proposed primarily for reaction with the fats in fingermarks was osmium tetroxide (Mitchell, 1920) which reacts across the unsaturated carbon double bonds present in several of the compounds present. However, the toxicity of this reagent means that it is no longer considered for operational use.…”

Section: Utilization Of Fingermark Chemistry In Mark Enhancementmentioning

confidence: 99%

“…This is because chemical substances present can be utilized by a range of processes that either convert a latent mark into one that is visible or assist in further enhancing the pre-existing detail in a patent mark. The chemical development of fingermarks was observed as early as the 1860s (Quinche & Margot, 2010) and was already being explored in a more focused way in the 1920s (Mitchell, 1920), with a range of chemical processes targeting different constituents being proposed for use.…”

Section: Introductionmentioning

confidence: 99%

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The forensic exploitation of fingermark chemistry: A review

Bleay

Bailey

Croxton

et al. 2020

WIREs Forensic Science

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The substances deposited from the fingertip onto a surface during contact between them represent a highly complex range of chemicals that can be exploited in a variety of ways in a forensic investigation. An overview is given of the multitude of chemicals that have been detected in fingermarks, including those occurring in endogenous sweat, metabolites of ingested substances, and exogenous substances picked up on the fingertip. Changes in chemistry that may occur between deposition of the fingermark and its subsequent forensic analysis are discussed, with particular reference to the ways in which these changes have been considered as a means of dating fingermarks. The ways in which fingermark enhancement reagents utilize the different chemicals present to reveal ridge is reviewed, together with how different classes of chemical can be sequentially targeted to optimize the number of fingermarks recovered.A field of increasing interest is the use of advanced analytical techniques incorporating mass spectrometry and imaging capability to simultaneously obtain additional contextual information about the donor of the mark while visualizing the fingermark ridge pattern. Examples are given of how such information can be applied in forensic investigations. It is concluded that an extensive "tool kit" of fingermark enhancement processes is already available to utilize the different chemicals present, and the advances that can be made in this field using conventional approaches are limited. There is, instead, significant potential to utilize analytical techniques to forensically exploit the chemical information within fingermarks but there are also significant barriers to their implementation in this way.

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Section: Utilization Of Fingermark Chemistry In Mark Enhancementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The forensic exploitation of fingermark chemistry: A review

Bleay

Bailey

Croxton

et al. 2020

WIREs Forensic Science

View full text Add to dashboard Cite

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“…Under these conditions, gaseous I 2 deposits (desublimes) on and reacts with structures in its vicinity. “Fuming” with heated iodine vapor has been used for nearly a century in the forensic recovery of fingerprints and text from paper, which is then observed with visible light (Jasuja and Singh, ; Kelly et al, ; Mitchell, ). We have exploited iodine vapor staining as a simple and inexpensive approach to introduce atomic number contrast to specimens for imaging with backscattered electron scanning electron microscopy (BSE SEM) and X‐ray microtomography (XMT).…”

Section: Introductionmentioning

confidence: 99%

Iodine vapor staining for atomic number contrast in backscattered electron and X‐ray imaging

Boyde

Mccorkell

Taylor

et al. 2014

Microscopy Res & Technique

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Iodine imparts strong contrast to objects imaged with electrons and X-rays due to its high atomic number (53), and is widely used in liquid form as a microscopic stain and clinical contrast agent. We have developed a simple technique which exploits elemental iodine's sublimation-deposition state-change equilibrium to vapor stain specimens with iodine gas. Specimens are enclosed in a gas-tight container along with a small mass of solid I2. The bottle is left at ambient laboratory conditions while staining proceeds until empirically determined completion (typically days to weeks). We demonstrate the utility of iodine vapor staining by applying it to resin-embedded tissue blocks and whole locusts and imaging them with backscattered electron scanning electron microscopy (BSE SEM) or X-ray microtomography (XMT). Contrast is comparable to that achieved with liquid staining but without the consequent tissue shrinkage, stain pooling, or uneven coverage artefacts associated with immersing the specimen in iodine solutions. Unmineralized tissue histology can be read in BSE SEM images with good discrimination between tissue components. Organs within the locust head are readily distinguished in XMT images with particularly useful contrast in the chitin exoskeleton, muscle and nerves. Here, we have used iodine vapor staining for two imaging modalities in frequent use in our laboratories and on the specimen types with which we work. It is likely to be equally convenient for a wide range of specimens, and for other modalities which generate contrast from electron- and photon-sample interactions, such as transmission electron microscopy and light microscopy. Microsc. Res. Tech. 77:1044–1051, 2014. © 2014 The Authors. Microscopy Research Technique published by Wiley Periodocals, Inc.

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“…The first model for fingerprint recognition was designed in the late 1960s, based on a system created in the XIX century by Francis Galton called Galton points [65]. Since then, many works addressed the problem through different perspectives, such as digital image processing [3,138], Generative Adversarial Networks [126], and filter representation [50], to cite a few.…”

Section: Biometric Identificationmentioning

confidence: 99%

Gait Recognition Based on Deep Learning: A Survey

et al. 2022

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In general, biometry-based control systems may not rely on individual expected behavior or cooperation to operate appropriately. Instead, such systems should be aware of malicious procedures for unauthorized access attempts. Some works available in the literature suggest addressing the problem through gait recognition approaches. Such methods aim at identifying human beings through intrinsic perceptible features, despite dressed clothes or accessories. Although the issue denotes a relatively long-time challenge, most of the techniques developed to handle the problem present several drawbacks related to feature extraction and low classification rates, among other issues. However, deep learning-based approaches recently emerged as a robust set of tools to deal with virtually any image and computer-vision-related problem, providing paramount results for gait recognition as well. Therefore, this work provides a surveyed compilation of recent works regarding biometric detection through gait recognition with a focus on deep learning approaches, emphasizing their benefits and exposing their weaknesses. Besides, it also presents categorized and characterized descriptions of the datasets, approaches, and architectures employed to tackle associated constraints.

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The detection of finger-prints on documents

Cited by 15 publications

References 0 publications

The forensic exploitation of fingermark chemistry: A review

The forensic exploitation of fingermark chemistry: A review

Iodine vapor staining for atomic number contrast in backscattered electron and X‐ray imaging

Gait Recognition Based on Deep Learning: A Survey

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