Knuckle Biometrics for Human Identification

  • Michał Choraś
  • Rafał Kozik
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 84)


In this paper we present human identification method based on knuckle biometrics also termed as FKP (finger-knuckle-print). Knuckle is a part of hand, and therefore, is easily accessible, invariant to emotions and other behavioral aspects (e.g. tiredness) and most importantly is rich in texture features which usually are very distinctive. The major contribution of this paper are texture-based knuckle features and their evaluation using IIT Delhi knuckle image database.


Feature Vector Query Image Feature Extraction Method Equal Error Rate Template Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Michał Choraś
    • 1
  • Rafał Kozik
    • 1
  1. 1.Image Processing GroupInstitute of Telecommunications, UT&LS Bydgoszcz 

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