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

Details

Serval ID
serval:BIB_C0CA7B0E8DF1
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Operational benefits and challenges of the use of fingerprint statistical models: a field study
Journal
Forensic Science International
Author(s)
Neumann C., Mateos-Garcia I., Langenburg G., Kostroski J., Skerrett J. E., Koolen M.
ISSN
0379-0738
Publication state
Published
Issued date
10/2011
Peer-reviewed
Oui
Volume
212
Number
1-3
Pages
32-46
Language
english
Abstract
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.
Keywords
Fingerprints, Likelihood ratio, Weight of evidence, Casework application
Create date
05/10/2011 9:50
Last modification date
20/08/2019 16:35
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