The development of an automatic recognition system for earmark and earprint comparisons

Détails

ID Serval
serval:BIB_E05C99A12142
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
The development of an automatic recognition system for earmark and earprint comparisons
Périodique
Forensic Science International
Auteur(s)
Junod S., Pasquier J., Champod C.
ISSN
1872-6283 ; 0379-0738
Statut éditorial
Publié
Date de publication
09/2012
Peer-reviewed
Oui
Volume
222
Numéro
1-3
Pages
170-178
Langue
anglais
Résumé
The value of earmarks as an efficient means of personal identification is still subject to debate. It has been argued that the field is lacking a firm systematic and structured data basis to help practitioners to form their conclusions. Typically, there is a paucity of research guiding as to the selectivity of the features used in the comparison process between an earmark and reference earprints taken from an individual. This study proposes a system for the automatic comparison of earprints and earmarks, operating without any manual extraction of key-points or manual annotations. For each donor, a model is created using multiple reference prints, hence capturing the donor within source variability. For each comparison between a mark and a model, images are automatically aligned and a proximity score, based on a
normalized 2D correlation coefficient, is calculated. Appropriate use of this score allows deriving a likelihood ratio that can be explored under known state of affairs (both in cases where it is known that the mark has been left by the donor that gave the model and conversely in cases when it is established
that the mark originates from a different source). To assess the system performance, a first dataset containing 1229 donors elaborated during the FearID research project was used. Based on these data, for mark-to-print comparisons, the system performed with an equal error rate (EER) of 2.3% and about 88% of marks are found in the first 3 positions of a hitlist. When performing print-to-print transactions, results show an equal error rate of 0.5%. The system was then tested using real-case data obtained from
police forces.
Mots-clé
Earprint Earmark Automatic comparison Recognition Weight of evidence
Création de la notice
04/09/2012 8:42
Dernière modification de la notice
20/08/2019 17:04
Données d'usage