Palmprint matching using feature points and SVD factorisation

  • Authors:
  • O. Nibouche;J. Jiang

  • Affiliations:
  • School of Computer Engineering, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia;Department of Computing, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, UK

  • Venue:
  • Digital Signal Processing
  • Year:
  • 2013

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Abstract

In this paper, a new palmprint matching system based on the extraction of feature points is suggested. Using a scale-space representation, the points in question are corners formed by the intersection of creases and lines. Unlike minutiae, such points can still be extracted even on low resolution palmprints. Matching is carried out using an SVD factorisation of a proximity matrix and takes account of the coordinates of the detected points and their local texture. Our experiments have yielded some very good results evidenced by an EER of 0.10%.