Biometric System Performance Evaluation
Biometric System Performance Evaluation is a systematic methodology within biometric science that assesses the accuracy, reliability, and robustness of biometric systems by quantifying their operational performance through metrics such as false acceptance rate, false rejection rate, and equal error rate under defined testing conditions.
1.1K
Publications
60.6K
Citations
2.4K
Authors
789
Institutions
Publications per year
2017–2026
249
Parents
1.1K
An identity-authentication system using fingerprints
Anil K. Jain, Hong Lin, Sharath Pankanti et al. · Proceedings of the IEEE · 1997 · 929 citations
Recognition of Human Iris Patterns for Biometric Identification
Libor Masek · 2003 · 915 citations
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789
Michigan State University
East Lansing, United States
29 h-index
69 publications
22.3K citations

Universidad Autónoma de Madrid
Madrid, Spain
24 h-index
110 publications
5.1K citations
National Institute of Standards and Technology
Gaithersburg, United States
21 h-index
59 publications
4.8K citations
West Virginia University
Morgantown, United States
20 h-index
68 publications
4.3K citations

University of Notre Dame
Notre Dame, United States
20 h-index
76 publications
6K citations

University of Cagliari
Cagliari, Italy
18 h-index
71 publications
2.9K citations
Darmstadt University of Applied Sciences
Darmstadt, Germany
17 h-index
78 publications
3.2K citations

University of Salzburg
Salzburg, Austria
16 h-index
54 publications
1.4K citations
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44 publications · 3.7K citations
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TPAMI · 23 publications · 12.5K citations
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28 publications · 1.3K citations
19
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BMT · 27 publications · 949 citations
16
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13 publications · 1.6K citations
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