Titre
Evidence evaluation in fingerprint comparison and automated fingerprint identification systems: modeling between finger variability
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Auteur(s)
Egli Anthonioz, N.
Auteure/Auteur
Champod, C.
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
ISSN
1875-1768
Statut éditorial
Publié
Date de publication
2014-02
Volume
235
Première page
86
Dernière page/numéro d’article
101
Peer-reviewed
Oui
Langue
anglais
Résumé
In the context of the investigation of the use of automated fingerprint identification systems (AFIS) for the evaluation of fingerprint evidence, the current study presents investigations into the variability of scores from an AFIS system when fingermarks from a known donor are compared to fingerprints that are not from the same source. The ultimate goal is to propose a model, based on likelihood ratios, which allows the evaluation of mark-to-print comparisons. In particular, this model, through its use of AFIS technology, benefits from the possibility of using a large amount of data, as well as from an already built-in proximity measure, the AFIS score. More precisely, the numerator of the LR is obtained from scores issued from comparisons between impressions from the same source and showing the same minutia configuration. The denominator of the LR is obtained by extracting scores from comparisons of the questioned mark with a database of non-matching sources. This paper focuses solely on the assignment of the denominator of the LR. We refer to it by the generic term of between-finger variability. The issues addressed in this paper in relation to between-finger variability are the required sample size, the influence of the finger number and general pattern, as well as that of the number of minutiae included and their configuration on a given finger. Results show that reliable estimation of between-finger variability is feasible with 10,000 scores. These scores should come from the appropriate finger number/general pattern combination as defined by the mark. Furthermore, strategies of obtaining between-finger variability when these elements cannot be conclusively seen on the mark (and its position with respect to other marks for finger number) have been presented. These results immediately allow case-by-case estimation of the between-finger variability in an operational setting.
PID Serval
serval:BIB_3B764C947FA1
Date de création
2014-01-10T06:37:51.987Z
Date de création dans IRIS
2025-05-20T20:19:10Z