A phase-based iris recognition algorithm

  • Authors:
  • Kazuyuki Miyazawa;Koichi Ito;Takafumi Aoki;Koji Kobayashi;Hiroshi Nakajima

  • Affiliations:
  • Graduate School of Information Sciences, Tohoku University, Sendai, Japan;Graduate School of Information Sciences, Tohoku University, Sendai, Japan;Graduate School of Information Sciences, Tohoku University, Sendai, Japan;Yamatake Corporation, Isehara, Japan;Yamatake Corporation, Isehara, Japan

  • Venue:
  • ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
  • Year:
  • 2006

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Abstract

This paper presents an efficient algorithm for iris recognition using phase-based image matching. The use of phase components in two-dimensional discrete Fourier transforms of iris images makes possible to achieve highly robust iris recognition with a simple matching algorithm. Experimental evaluation using the CASIA iris image database (ver. 1.0 and ver. 2.0) clearly demonstrates an efficient performance of the proposed algorithm.