Hand Geometry Recognition

Hand Geometry Recognition is a biometric authentication method that identifies individuals based on the unique structural dimensions of the hand, such as finger length, width, and curvature, distinguished from other biometric techniques by its reliance on three-dimensional geometric features of the hand rather than fingerprint patterns, vein structures, or behavioral traits.

179

Publications

7.1K

Citations

434

Authors

190

Institutions

Publications per year

2017–2026

39

Variants

Hand Geometry Biometrics

Authors

434

  1. CM
    Carlos M. Travieso

    Universidad de Las Palmas de Gran Canaria, Spain

    9 publications · 241 citations

    9

    h-index

  2. AK
    Ajay Kumar

    Hong Kong Polytechnic University, Hong Kong SAR China

    8 publications · 657 citations

    8

    h-index

  3. MA
    Miguel A. Ferrer

    Universidad de Las Palmas de Gran Canaria, Spain

    8 publications · 203 citations

    8

    h-index

  4. JB
    Jesús B. Alonso

    Universidad de Las Palmas de Gran Canaria, Spain

    7 publications · 165 citations

    7

    h-index

  5. DZ
    David Zhang

    Hong Kong Polytechnic University, Hong Kong SAR China

    7 publications · 378 citations

    7

    h-index

1–5 of 434

Venues

  1. 6

    h-index

  2. Expert Systems with Applications

    5 publications · 285 citations

    5

    h-index

  3. Neurocomputing

    4 publications · 96 citations

    4

    h-index

  4. 4

    h-index

  5. Pattern Recognition Letters

    3 publications · 223 citations

    3

    h-index

1–5