Iris features extraction using beamlets and wedgelets

  • Authors:
  • M. Rachubinski

  • Affiliations:
  •  

  • Venue:
  • Machine Graphics & Vision International Journal
  • Year:
  • 2009

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Abstract

A new approach to iris feature extraction using geometrical wavelets is presented. Iris code is genetated by using representation of the wavelet coefficients based on a wedgelet dictonary. The accuracy of identification in the case of head inclination by a certain angle for different ranges of possibilities of shifting the iris code is shown. Experimental results on the CASIA iris database show that the proposed method is effective and exhibits encouraging performance.