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Color Iris Recognition Using Quaternion Phase Correlation

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2 Author(s)
Ghouti, L. ; Dept. of Inf. & Comput. Sci., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia ; Al-Qunaieer, F.S.

In this paper, we propose a new algorithm for color iris recognition using quaternion phase correlation. The proposed scheme leads to new hypercomplex phase-based color iris recognition and matching method that is based on the joint modeling of the iris color components using the ¿holistic¿ representation provided by the quaternion representations. The efficiency of the proposed iris recognition method is characterized by greater accuracy and flexibility in capturing the color iris information. Using a database of 1877 color iris images, the experimental results indicate that the proposed method significantly improves iris recognition rates compared with traditional color approaches, while it enjoys a similar computational complexity.

Published in:

Bio-inspired Learning and Intelligent Systems for Security, 2009. BLISS '09. Symposium on

Date of Conference:

20-21 Aug. 2009