title: Fingermark evidence evaluation based on automated fingerprint identification system matching scores: the effect of different types of conditioning on likelihood ratios.
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.
authors.affiliation: Netherlands Forensic Institute, Laan van Ypenburg 6, 2497, GB, Den Haag, The Netherlands.
authors.forename: Ivo
authors.initials: I
authors.lastname: Alberink
authors.forename: Arent
authors.initials: A
authors.lastname: de Jongh
authors.forename: Crystal
authors.initials: C
authors.lastname: Rodriguez
mesh_terms: D003878:Dermatoglyphics; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical
keywords: Bayesian framework; conditioning; fingertrace comparison; forensic science; likelihood ratios