Literature DB >> 24180303

Fingermark evidence evaluation based on automated fingerprint identification system matching scores: the effect of different types of conditioning on likelihood ratios.

Ivo Alberink1, Arent de Jongh, Crystal Rodriguez.   

Abstract

In recent studies, the evidential value of the similarity of minutiae configurations of fingermarks and fingerprints, for example expressed by automated fingerprint identification systems (AFIS), is determined by likelihood ratios (LRs). The paper explores whether there is an effect on LRs if conditioning takes place on specified fingers, fingerprints, or fingermarks under competing hypotheses: In addition, an approach is explored where conditioning is asymmetric. Comparisons between fingerprints and simulated fingermarks with eight minutiae are performed to produce similarity score distributions for each type of conditioning, given a fixed AFIS matching algorithm. Both similarity scores and LRs are significantly different if the conditioning changes. Given a common-source scenario, "LRs" resulting from asymmetric conditioning are on average higher. The difference may reach a factor of 2000. As conditioning on a suspect's finger(print) is labor-intensive and requires a cooperating suspect, it is recommended to just condition on the number of minutiae in the fingermark.
© 2013 American Academy of Forensic Sciences.

Keywords:  Bayesian framework; conditioning; fingertrace comparison; forensic science; likelihood ratios

Mesh:

Year:  2013        PMID: 24180303     DOI: 10.1111/1556-4029.12105

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  5 in total

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Review 4.  Implementation of algorithms in pattern & impression evidence: A responsible and practical roadmap.

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5.  Likelihood ratio data to report the validation of a forensic fingerprint evaluation method.

Authors:  Daniel Ramos; Rudolf Haraksim; Didier Meuwly
Journal:  Data Brief       Date:  2016-11-18
  5 in total

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