Iris Recognition

Iris Recognition is a biometric authentication method that identifies individuals based on the unique patterns of the iris, distinguished by its use of high-resolution imaging and mathematical pattern recognition applied to the anatomical structure of the eye’s colored ring surrounding the pupil.

2K

Publications

98K

Citations

3.9K

Authors

1.3K

Institutions

Publications per year

2017–2026

530

Authors

3.9K

  1. KW
    Kevin W. Bowyer

    University of Notre Dame, United States

    56 publications · 3.9K citations

    33

    h-index

  2. ZS
    Zhenan Sun

    Institute of Automation, China

    51 publications · 3.6K citations

    29

    h-index

  3. TT
    Tieniu Tan

    Institute of Automation, China

    47 publications · 5.3K citations

    28

    h-index

  4. AR
    Arun Ross

    Michigan State University, United States

    41 publications · 2.6K citations

    26

    h-index

  5. PJ
    Patrick J. Flynn

    University of Notre Dame, United States

    29 publications · 2.6K citations

    24

    h-index

1–5 of 3.9K

Venues

  1. 38

    h-index

  2. Pattern Recognition Letters

    57 publications · 3.4K citations

    36

    h-index

  3. Pattern Recognition

    25 publications · 3.5K citations

    23

    h-index

  4. Image and Vision Computing

    28 publications · 1.8K citations

    21

    h-index

  5. IEEE Access

    33 publications · 1.5K citations

    20

    h-index

1–5