Method for fingerprints age determination

Popa, G; Potorac, Romica; Preda, Nicolae

doi:10.4323/rjlm.2010.149

Cited by 40 publications

(44 citation statements)

References 3 publications

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“…One very basic method used the rate of healing of a wound on a finger compared to the impression in a deposited fingerprint [137], although this has very obvious limitations for real world applications. A number of studies have explored the degeneration of ridge features and width, with a particular focus on changes to individual pores over time [138,139]. One study identified a decrease in ridge width over 180 days.…”

Section: Changes In Ridge Featuresmentioning

confidence: 98%

Fingerprint composition and aging: A literature review

et al. 2015

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Section: Changes In Ridge Featuresmentioning

confidence: 98%

Fingerprint composition and aging: A literature review

et al. 2015

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“…Gender determination [21], donor classification [21][22][23][24][25], and aging studies [26][27][28][29][30][31][32] were among the major targets of fingerprint research recently. Francese et al show in their review article the power of MALDI mass spectrometry for the manifold analyses of fingerprints, even after aging [33].…”

Section: Introductionmentioning

confidence: 99%

“…GC-MS was used in 1999 to identify components of fingerprint residues, including free fatty acids, triglycerides, wax ester, amino acids, glycerol, cholesterol, and squalene [17], followed by several studies combining chromatography, mass spectrometry, and spectroscopic techniques [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]. Gender determination [21], donor classification [21][22][23][24][25], and aging studies [26][27][28][29][30][31][32] were among the major targets of fingerprint research recently.…”

Section: Introductionmentioning

confidence: 99%

Fatty Acid Structure and Degradation Analysis in Fingerprint Residues

Pleik

Spengler

Schäfer

et al. 2016

J. Am. Soc. Mass Spectrom.

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Abstract. GC-MS investigations were carried out to elucidate the aging behavior of unsaturated fatty acids in fingerprint residues and to identify their degradation products in aged samples. For this purpose, a new sample preparation technique for fingerprint residues was developed that allows producing N-methyl-N-trimethylsilyltrifluoroacetamide (MSTFA) derivatives of the analyzed unsaturated fatty acids and their degradation products. MSTFA derivatization catalyzed by iodotrimethylsilane enables the reliable identification of aldehydes and oxoacids as characteristic MSTFA derivatives in GCMS. The obtained results elucidate the degradation pathway of unsaturated fatty acids. Our study of aged fingerprint residues reveals that decanal is the main degradation product of the observed unsaturated fatty acids. Furthermore, oxoacids with different chain lengths are detected as specific degradation products of the unsaturated fatty acids. The detection of the degradation products and their chain length is a simple and effective method to determine the double bond position in unsaturated compounds. We can show that the hexadecenoic and octadecenoic acids found in fingerprint residues are not the pervasive fatty acids Δ9-hexadecenoic (palmitoleic acid) and Δ9-octadecenoic (oleic acid) acid but Δ6-hexadecenoic acid (sapienic acid) and Δ8-octadecenoic acid. The present study focuses on the structure identification of human sebum-specific unsaturated fatty acids in fingerprint residues based on the identification of their degradation products. These results are discussed for further investigations and method developments for age determination of fingerprints, which is still a tremendous challenge because of several factors affecting the aging behavior of individual compounds in fingerprints.

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“…A few approaches include the use of fingerprint ridge thickness and changes of pores [4], the healing stage of a wound on the finger [5], fluorescence-properties of a fingerprint changing over time [6] or the use of a reference database of fingerprints of different aging states [7]. A good summary of current approaches for the age determination of latent fingerprints can be found in the German study of [6].…”

Section: State Of the Artmentioning

confidence: 99%

“…Many different influences exist on the aging process of a latent fingerprint trace (see [4], [5], [6], [7], [8], [9], [10], [11] and [12]). We summarise them here as: the sweat influence (namely all factors influencing the consistency of the sweat and therefore its decomposition process), the environmental influence (such as UVlight, humidity, temperature, wind or air pressure), the application influence (which is determined by the characteristic way a fingerprint trace is left, such as smearing or blurring, contact-time, contact pressure or the application of creme or dirt to a finger prior to applying the fingerprint) and the surface influence (where characteristic surface properties influence the aging process, such as absorptive or corroding surfaces).…”

Section: Assumptionsmentioning

confidence: 99%

Approximation of a Mathematical Aging Function for Latent Fingerprint Traces Based on First Experiments Using a Chromatic White Light (CWL) Sensor and the Binary Pixel Aging Feature

Merkel

Dittmann

Vielhauer

2011

Communications and Multimedia Security

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Abstract. The age determination of latent fingerprint traces is a very important challenge for forensic investigations, which has not been solved satisfyingly so far. Based on prior work, we use the novel and very promising aging feature of counting binary pixel for the approximation of a mathematical aging function to be used for the age determination of latent fingerprint traces. We first show the feasibility of this feature in a test set of nine test series (each comprised of a fingerprint sample scanned continuously over four days) using three different optical sensors (CWL) of the same model and varying resolutions (3,5,10µm). We then approximate the aging function for each test series, showing an average error of approximation between 13% and 40% for an optimal approximation. We discuss the prospects and restrictions of such a function for the age determination of latent fingerprint traces and identify future research challenges.

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Method for fingerprints age determination

Cited by 40 publications

References 3 publications

Fingerprint composition and aging: A literature review

Fingerprint composition and aging: A literature review

Fatty Acid Structure and Degradation Analysis in Fingerprint Residues

Approximation of a Mathematical Aging Function for Latent Fingerprint Traces Based on First Experiments Using a Chromatic White Light (CWL) Sensor and the Binary Pixel Aging Feature

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