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Proceedings Paper

Iris identification using contourlet transform
Author(s): Rami Zewail; Mrinal Mandal; Nelson Durdle
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Paper Abstract

With the increased emphasis on security and personal authentication, an accurate biometric-based authentication system has become a critical requirement in a variety of applications. Among different biometrics, authentication based on iris features has received a lot of attention since its introduction in 1992. The wavelet transform has been proposed by several researchers for extracting iris features for authentication. Although classical wavelets provide a good performance, they suffer from limited orientation selectivity. In this paper, we investigate the potentials of using the contourlet transform to represent the iris texture. A new iris representation and matching system based on contourlet transform is proposed. The contourlet transform not only shares the multiscale and localization properties of wavelets, but also has a higher degree of directionality and anisotropy. The proposed matching system is experimented in both verification and identification modes. Results have shown the significance of the new technique, especially in case of low quality iris images and highly security demanding applications.

Paper Details

Date Published: 27 February 2007
PDF: 8 pages
Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 64970C (27 February 2007); doi: 10.1117/12.703511
Show Author Affiliations
Rami Zewail, Univ. of Alberta (Canada)
Mrinal Mandal, Univ. of Alberta (Canada)
Nelson Durdle, Univ. of Alberta (Canada)

Published in SPIE Proceedings Vol. 6497:
Image Processing: Algorithms and Systems V
Jaakko T. Astola; Karen O. Egiazarian; Edward R. Dougherty, Editor(s)

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