Iris recognition using fourier-wavelet features

Authors:
Ping S. Huang;Chung-Shi Chiang;Ji-Ren Liang
Affiliations:
Department of Electrical Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan, Taiwan, R.O.C.;Department of Electrical Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan, Taiwan, R.O.C.;Department of Electrical Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan, Taiwan, R.O.C.
Venue:
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Year:
2005

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Abstract

This paper presents an effective iris recognition system for iris localization, feature extraction, and matching. By combining the shift-invariant and the multi-resolution properties from Fourier descriptor and wavelet transform, the Fourier-Wavelet features are proposed for iris recognition. A similarity measure is adopted as the matching criterion. Four wavelet filters containing Haar, Daubechies-8, Biorthogonal 3.5, and Biorthogonal 4.4 are evaluated and they all perform better than the feature of Gaussian-Hermite moments. Experimental results demonstrate that the proposed features can provide promising performance for iris recognition.