Closed-set Biometric Recognition

Closed-Set Biometric Recognition is a biometric verification paradigm in which the system assumes that every presented biometric sample belongs to an individual enrolled in the database, thereby restricting identification decisions to only those individuals within the known set.

8

Publications

246

Citations

28

Authors

15

Institutions

Publications per year

2017–2026

4

Authors

28

  1. PJ
    P. Jonathon Phillips

    National Institute of Standards and Technology, United States

    2 publications · 88 citations

    2

    h-index

  2. PP
    Peter Peer

    University of Ljubljana, Slovenia

    1 publications · 17 citations

    1

    h-index

  3. CC
    Chun-Shun Chang

    National Tsing Hua University, Taiwan

    1 publications · 15 citations

    1

    h-index

  4. JR
    J. Ross Beveridge

    Colorado State University, United States

    1 publications · 21 citations

    1

    h-index

  5. MH
    M. Hanmandlu

    Indian Institute of Technology Delhi, India

    1 publications · 20 citations

    1

    h-index

1–5 of 28

Venues

  1. Animals

    1 publications · 22 citations

    1

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Mathematics

    1 publications · 12 citations

1–4