Specific texture analysis for iris recognition

  • Authors:
  • Emine Krichen;Lorène Allano;Sonia Garcia-Salicetti;Bernadette Dorizzi

  • Affiliations:
  • Institut National des Télécommunications, Evry, France;Institut National des Télécommunications, Evry, France;Institut National des Télécommunications, Evry, France;Institut National des Télécommunications, Evry, France

  • Venue:
  • AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
  • Year:
  • 2005

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Abstract

In this paper, we present a new method for iris recognition based on specific texture analysis. It relies on the use of Haar wavelet analysis to extract the texture of the iris tissue. The matching is done using a specific correlation based on local peaks detection. Experiments have been conducted on the CASIA database in verification mode and show an EER of 0.07%. Degraded version of the CASIA database results in an EER of 2.3%, which is lower than result obtained by the classical wavelet demodulation (WD) method in that database.