Open-set Biometric Recognition

Open-Set Biometric Recognition is a biometric recognition paradigm in which the system must account for the possibility that probe samples may originate from individuals not enrolled in the claimed identity database, thereby requiring both accurate identification of known subjects and rejection of unknown ones.

38

Publications

1.6K

Citations

139

Authors

61

Institutions

Publications per year

2017–2026

28

Authors

139

  1. DZ
    Dexing Zhong

    Xi'an Jiaotong University, China

    4 publications · 258 citations

    4

    h-index

  2. HS
    Huikai Shao

    Xi'an Jiaotong University, China

    3 publications · 170 citations

    3

    h-index

  3. YW
    Yichao Wu

    Group Sense (China), China

    2 publications · 210 citations

    2

    h-index

  4. BP
    Baoyun Peng

    Group Sense (China), China

    2 publications · 210 citations

    2

    h-index

  5. AR
    Ajita Rattani

    University of Missouri–Kansas City, United States

    2 publications · 166 citations

    2

    h-index

1–5 of 139

Venues

  1. Pattern Recognition

    2 publications · 83 citations

    2

    h-index

  2. 2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 51 citations

    2

    h-index

  4. IEEE Computational Intelligence Magazine

    CIM · 1 publications · 14 citations

    1

    h-index

  5. IEEE Access

    1 publications · 16 citations

    1

    h-index

1–5