A region-based Iris feature extraction method based on 2D-wavelet transform

Authors:
Nima Tajbakhsh;Khashayar Misaghian;Naghmeh Mohammadi Bandari
Affiliations:
Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, Iran;Biomedical Engineering Department, Iran University of Science and Technology, Tehran, Iran;Biomedical Engineering Department, Amirkabir University of Technology, Tehran, Iran
Venue:
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
Year:
2009

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Abstract

Despite significant progress made in iris recognition, handling noisy and degraded iris images is still an open problem and deserves further investigation. This paper proposes a feature extraction method to cope with degraded iris images. This method is founded on applying the 2D-wavelet transform on overlapped blocks of the iris texture. The proposed approach enables us to select the most informative wavelet coefficients providing both essential texture information and enough robustness against the degradation factors. Our experimental results on the UBIRIS database demonstrate the effectiveness of the proposed method that achieves 4.10%FRR (@ FAR=.01 %) and 0.66% EER.