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Summary: IRIS RECOGNITION
C. H. Daouk, L. A. El-Esber, F. D. Kammoun and M. A. Al Alaoui
Electrical and Computer Engineering Department, Faculty of Engineering and Architecture
American University of Beirut, P.O. Box: 110236, Riad El Solh, Beirut 1107 2020
Lebanon, Tel: +961-1-350000 (Ext. 3520), Fax: +961-1-744462, Email: adnan@aub.edu.lb
Abstract
In this paper, we describe the novel techniques
we developed to create an Iris Recognition System, in
addition to an analysis of our results. We used a fusion
mechanism that amalgamates both, a Canny Edge
Detection scheme and a Circular Hough Transform, to
detect the iris' boundaries in the eye's digital image. We
then applied the Haar wavelet in order to extract the
deterministic patterns in a person's iris in the form of a
feature vector. By comparing the quantized vectors using
the Hamming Distance operator, we determine finally
whether two irises are similar. Our results show that our
system is quite effective.
Keywords
Bilinear Transformation, Biometrics, Canny Operator,
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