Fingerprints and Other Ridge Skin Impressions

Champod, Christophe; Lennard, Chris; Margot, Pierre; Stoilovic, Milutin

doi:10.1201/b20423

Cited by 40 publications

(43 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An extensive literature (Champod et al. 2016 ; Dell and Munger 1986 ; Irmak 2010 ; Kücken and Champod 2013 ; Moore and Munger 1989 ; Morohunfola et al. 1992 ; Wertheim 2011 ) in the biological community suggests that fingerprint patterns are formed due to the interaction of mechanical stress, trophic factors from incoming nerves and interactions between so-called Merkel cells.…”

Section: Introductionmentioning

confidence: 99%

An anisotropic interaction model for simulating fingerprints

et al. 2019

View full text Add to dashboard Cite

Evidence suggests that both the interaction of so-called Merkel cells and the epidermal stress distribution play an important role in the formation of fingerprint patterns during pregnancy. To model the formation of fingerprint patterns in a biologically meaningful way these patterns have to become stationary. For the creation of synthetic fingerprints it is also very desirable that rescaling the model parameters leads to rescaled distances between the stationary fingerprint ridges. Based on these observations, as well as the model introduced by Kücken and Champod we propose a new model for the formation of fingerprint patterns during pregnancy. In this anisotropic interaction model the interaction forces not only depend on the distance vector between the cells and the model parameters, but additionally on an underlying tensor field, representing a stress field. This dependence on the tensor field leads to complex, anisotropic patterns. We study the resulting stationary patterns both analytically and numerically. In particular, we show that fingerprint patterns can be modeled as stationary solutions by choosing the underlying tensor field appropriately.

show abstract

Section: Introductionmentioning

confidence: 99%

An anisotropic interaction model for simulating fingerprints

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Vacuum metal deposition (VMD) is part of the currently available fingermark detection techniques [1]. It is mostly characterized by its versatility of application (i.e., range of compatible substrates) and its efficiency, especially regarding difficult cases (e.g., problematic substrates, adverse conditions).…”

Section: Introductionmentioning

confidence: 99%

Effect of water immersion on multi- and mono-metallic VMD

Steiner

Bécue

2018

Forensic Science International

View full text Add to dashboard Cite

The use of vacuum metal deposition (VMD) for fingermark detection has been known for almost 40 years. The technique is applicable on a wide variety of substrates and on wetted items. Several publications compare the relative efficiency of VMD (conventionally based on a successive vaporization of gold followed by zinc) with other detection techniques, or its ability to detect marks on difficult substrates, but few are known about the application of monometallic VMDs and about the impact of immersion on the detection performances. This study aims at partially filling that gap by offering a quantitative and qualitative glance at three VMD processes (i.e., gold/zinc, silver, and sterling silver) applied to dry and wetted substrates. The impact of immersion on the detection process has been studied by using split marks (one half kept dry, the other one wetted). On immersed substrates, a modification of colour shades has been observed with monometallic VMDs (on all substrates considered) and of contrast with conventional VMD (on polyethylene). In terms of ridge details, a relatively good resistance of secretion residue towards immersion has been emphasized (in regards with VMD). This study provides original data, which will hopefully help getting a better understanding of the VMD detection mechanism.

show abstract

“…Since sweat is colorless in nature, its deposition on a surface also produces colorless impressions, which are called latent fingerprints. 1 Latent fingerprint residues consist of secretions of the eccrine (sweat), sebaceous, and apocrine glands present on the palm, head, and nose. Sweat contains water (>98%), minerals (0.5%), and organic compounds (0.5%).…”

Section: Introductionmentioning

confidence: 99%

“…Chemical composition of the latent residue further changes with the passage of time due to the evaporation of its volatile constituents, action by microorganisms, and exposure to heat, light, moisture, and air. [1][2][3] Popa et al 4 observed that biological constituents of fingerprints degraded differently with the passage of time. They also observed that degradation of fingerprints depends on blood group under identical environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Emerging latent fingerprint technologies: a review

Bumbrah¹,

Sharma²,

Jasuja³

2016

RRFMS

View full text Add to dashboard Cite

Information regarding state of the art technology is accessible by searching in a systematic manner, and is the preferred way of keeping up to date. In this review, we present the recent developments in the field of latent fingerprint detection. Recent developments in processing methods including optical, physical, and chemical methods, and sophistical instrumental analytical techniques are presented.

show abstract

Fingerprints and Other Ridge Skin Impressions

Cited by 40 publications

References 4 publications

An anisotropic interaction model for simulating fingerprints

An anisotropic interaction model for simulating fingerprints

Effect of water immersion on multi- and mono-metallic VMD

Emerging latent fingerprint technologies: a review

Contact Info

Product

Resources

About