Biometric Feature Extraction

Biometric Feature Extraction is a computational process within biometric authentication systems that identifies and isolates distinctive, measurable characteristics from raw biometric data for the purpose of individual identification or verification.

4.4K

Publications

200.7K

Citations

8.7K

Authors

2.2K

Institutions

Publications per year

2017–2026

1.3K

Authors

8.7K

  1. DZ
    David Zhang

    Hong Kong Polytechnic University, Hong Kong SAR China

    89 publications · 11.2K citations

    47

    h-index

  2. AK
    Ajay Kumar

    Hong Kong Polytechnic University, Hong Kong SAR China

    50 publications · 4.4K citations

    36

    h-index

  3. AK
    Anil K. Jain

    Michigan State University, United States

    46 publications · 10.6K citations

    34

    h-index

  4. CB
    Christoph Busch

    Darmstadt University of Applied Sciences, Germany

    64 publications · 2.7K citations

    27

    h-index

  5. AR
    Arun Ross

    Michigan State University, United States

    33 publications · 6K citations

    26

    h-index

1–5 of 8.7K

Venues

  1. Pattern Recognition

    106 publications · 12.4K citations

    64

    h-index

  2. 55

    h-index

  3. Pattern Recognition Letters

    98 publications · 9.4K citations

    49

    h-index

  4. 40

    h-index

  5. IEEE Access

    79 publications · 3.3K citations

    31

    h-index

1–5