A novel representation of palm-print for recognition

  • Authors:
  • G. S. Badrinath;Phalguni Gupta

  • Affiliations:
  • Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, India;Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, India

  • Venue:
  • ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
  • Year:
  • 2010

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Abstract

This paper proposes a novel palm-print feature extraction technique which is based on binarising the difference of Discrete Cosine Transform coefficients of overlapping circular strips. The binary features of palm-print are matched using Hamming distance. The system is evaluated using PolyU database consisting of 7, 752 images. A procedure to extract palm-print for PolyU dataset is proposed and found to extract larger area compared to preprocessing technique in [1]. Variation in brightness of the extracted palm-print is corrected and the contrast of its texture is enhanced. Compared to the systems in [1, 2], the proposed system achieves higher Correct Recognition Rate (CRR) of 100 % with lower Equal Error Rate (EER) of 0.0073% at low computational cost.