Palm vein extraction and matching for personal authentication

  • Authors:
  • Yi-Bo Zhang;Qin Li;Jane You;Prabir Bhattacharya

  • Affiliations:
  • Institute for Information Systems Engineering, Concordia University, Quebec, Canada;Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, KLN, Hong Kong;Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, KLN, Hong Kong;Institute for Information Systems Engineering, Concordia University, Quebec, Canada

  • Venue:
  • VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
  • Year:
  • 2007

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Abstract

In this paper, we propose a scheme of personal authentication using palm vein. The infrared palm images which contain the palm vein information are used for our system. Because the vein information represents the liveness of a human, this system can provide personal authentication and liveness detection concurrently. The proposed system include: 1) Infrared palm images capture; 2) Detection of Region of Interest; 3) Palm vein extraction by multiscale filtering; 4) Matching. The experimental results demonstrate that the recognition rate using palm vein is good.