Supporting fingerprint identification assessments using a skin stretch model - A preliminary study.
To support fingerprint expert opinion, this research proposes an approach that combines subjective human analysis (as currently applied by fingerprint practitioners) with a statistical test of the result. This approach relies on the hypothesis that there are limits to the distortion caused by skin s...
| Publicado en: | Forensic Science International Vol. 272; pp. 41 - 50 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Mar2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=121356487&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 121356487 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03790738 3L0 jtl: Forensic Science International issn: 03790738 maglogo: N pubinfo: dt: Mar2017 vid: 272 pid: 82545 pub: Elsevier B.V. place: Philadelphia, Pennsylvania artinfo: ui: 121356487 121356487 NLM28110118 121356487 10.1016/j.forsciint.2016.12.036 NLM28110118 121356487 ppf: 41 ppct: 9 formats: tig: atl: Supporting fingerprint identification assessments using a skin stretch model - A preliminary study. aug: au: Lee, Rebecca Comber, Bruce Abraham, Joshua Wagner, Michael Lennard, Chris Spindler, Xanthe Roux, Claude affil: Centre for Forensic Science, University of Technology Sydney, Sydney, NSW, Australia sug: subj: Models, Statistical Dermatoglyphics Skin Physiology Elasticity Human ab: To support fingerprint expert opinion, this research proposes an approach that combines subjective human analysis (as currently applied by fingerprint practitioners) with a statistical test of the result. This approach relies on the hypothesis that there are limits to the distortion caused by skin stretch. Such limits can be modelled by applying a multivariate normal probability density function to the distances and angle formed by a marked ridge characteristic and the two closest neighbouring minutiae. This study presents a model tested on 5 donors in total. The "expected range" of distortion in a within-source comparison using 10 minutiae was determined and compared to between-source comparisons. The expected range of log probability densities for within-source comparisons marked with 10 minutiae was determined to be from -33.4 to -60.0, with all between-source data falling outside this range, between -83 and -305. These results suggest that the proposed generated metric could be a powerful tool for the assessment of fingerprint expert opinion in operational casework. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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