Operational benefits and challenges of the use of fingerprint statistical models: a field study

Détails

ID Serval
serval:BIB_C0CA7B0E8DF1
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Operational benefits and challenges of the use of fingerprint statistical models: a field study
Périodique
Forensic Science International
Auteur(s)
Neumann C., Mateos-Garcia I., Langenburg G., Kostroski J., Skerrett J. E., Koolen M.
ISSN
0379-0738
Statut éditorial
Publié
Date de publication
10/2011
Peer-reviewed
Oui
Volume
212
Numéro
1-3
Pages
32-46
Langue
anglais
Résumé
Research projects aimed at proposing fingerprint statistical models based on the likelihood ratio framework have shown that low quality finger impressions left on crime scenes may have significant evidential value. These impressions are currently either not recovered, considered to be of no value when first analyzed by fingerprint examiners, or lead to inconclusive results when compared to control prints. There are growing concerns within the fingerprint community that recovering and examining these low quality impressions will result in a significant increase of the workload of fingerprint units and ultimately of the number of backlogged cases. This study was designed to measure the number of impressions currently not recovered or not considered for examination, and to assess the usefulness of these impressions in terms of the number of additional detections that would result from their examination.
Mots-clé
Fingerprints, Likelihood ratio, Weight of evidence, Casework application
Création de la notice
05/10/2011 9:50
Dernière modification de la notice
03/03/2018 21:06
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