Abstract：
:The Bayesian approach provides a unified and logical framework for the analysis of evidence and to provide results in the form of likelihood ratios (LR) from the forensic laboratory to court. In this contribution we want to clarify how the biometric scientist or laboratory can adapt their conventional biometric systems or technologies to work according to this Bayesian approach. Forensic systems providing their results in the form of LR will be assessed through Tippett plots, which give a clear representation of the LR-based performance both for targets (the suspect is the author/source of the test pattern) and non-targets. However, the computation procedures of the LR values, especially with biometric evidences, are still an open issue. Reliable estimation techniques showing good generalization properties for the estimation of the between- and within-source variabilities of the test pattern are required, as variance restriction techniques in the within-source density estimation to stand for the variability of the source with the course of time. Fingerprint, face and on-line signature recognition systems will be adapted to work according to this Bayesian approach showing both the likelihood ratios range in each application and the adequacy of these biometric techniques to the daily forensic work.
journal_name
Forensic Sci Intjournal_title
Forensic science internationalauthors
Gonzalez-Rodriguez J,Fierrez-Aguilar J,Ramos-Castro D,Ortega-Garcia Jdoi
10.1016/j.forsciint.2004.11.007keywords:
subject
Has Abstractpub_date
2005-12-20 00:00:00pages
126-40issue
2-3eissn
0379-0738issn
1872-6283pii
S0379-0738(04)00750-9journal_volume
155pub_type
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journal_title：Forensic science international
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更新日期：2012-02-10 00:00:00
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pub_type： 杂志文章
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更新日期：2012-06-10 00:00:00
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更新日期：2009-08-10 00:00:00
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journal_title：Forensic science international
pub_type： 杂志文章,评审
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更新日期：2001-06-01 00:00:00
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pub_type： 杂志文章
doi：10.1016/j.forsciint.2005.11.024
更新日期：2006-12-01 00:00:00
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journal_title：Forensic science international
pub_type： 杂志文章
doi：10.1016/j.forsciint.2004.11.006
更新日期：2005-12-01 00:00:00
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journal_title：Forensic science international
pub_type： 杂志文章
doi：10.1016/j.forsciint.2003.08.006
更新日期：2003-12-17 00:00:00
