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

Authors

2.4K

  1. AK
    Anil K. Jain

    Michigan State University, United States

    32 publications · 10.9K citations

    25

    h-index

  2. CB
    Christoph Busch

    Darmstadt University of Applied Sciences, Germany

    48 publications · 1.6K citations

    22

    h-index

  3. KW
    Kevin W. Bowyer

    University of Notre Dame, United States

    25 publications · 2.3K citations

    19

    h-index

  4. JF
    Julián Fiérrez

    Universidad Autónoma de Madrid, Spain

    28 publications · 1.7K citations

    19

    h-index

  5. JO
    Javier Ortega-García

    Universidad Autónoma de Madrid, Spain

    24 publications · 1.4K citations

    18

    h-index

1–5 of 2.4K

Venues

  1. 27

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 23 publications · 12.5K citations

    23

    h-index

  3. 19

    h-index

  4. IET Biometrics

    BMT · 27 publications · 949 citations

    16

    h-index

  5. Pattern Recognition Letters

    13 publications · 1.6K citations

    13

    h-index

1–5