Iris Recognition Using 3D Co-occurrence Matrix

Authors:
Wen-Shiung Chen;Ren-Hung Huang;Lili Hsieh
Affiliations:
VIP-CCLab., Dept. of Electrical Engineering, National Chi Nan University, Taiwan;VIP-CCLab., Dept. of Electrical Engineering, National Chi Nan University, Taiwan;Dept. of Information Management, Hsiuping Institute of Technology, Taiwan
Venue:
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Year:
2009

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Abstract

This paper presents a biometric recognition based on the iris of a human eye using gray-level co-occurrence matrix (GLCM). A new approach of GLCM, called 3D-GLCM, which is expanded from the original 2D-GLCM is proposed and used to extract the iris features. The experimental results show that the proposed approach gains an encouraging performance on the UBIRIS iris database. The recognition rate up to 99.65% can be achieved.