Multimodal Hand-Palm Biometrics

  • Ryszard S. Choraś
  • Michał Choraś
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4432)

Abstract

Hand geometry based biometric verification has proven to be the most suitable and acceptable biometrics trait for medium and low security applications. Hereby a new approach for the personal identification using hand images is presented. Two kinds of biometric indicators are extracted from the low-resolution hand images; (i) palmprint features, which are composed of principal lines, wrinkles, minutiae, delta points, etc., and (ii) hand geometry features which include area/size of palm, length and width of fingers. In the article we focus on feature extraction methods applied to one-sensor multimodal hand-palm biometrics system.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Ryszard S. Choraś
    • 1
  • Michał Choraś
    • 1
  1. 1.Image Processing Group, Institute of Telecommunications, University of Technology & Life Sciences, S. Kaliskiego 7, 85-791 BydgoszczPoland

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