Personal Identification Based on Iris Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Iris Recognition Using Collarette Boundary Localization
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Efficient iris recognition by characterizing key local variations
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Iris center location using Hough transform with two-dimensional parameter space
Journal of Computer and Systems Sciences International
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In recent years there has been a rapid increase in the need for accurate and reliable personal identification so biometrics has received more and more attention. Iris recognition as a biometrics has a satisfying performance due to its high reliability and non-invasion. The iris recognition system consists of four processes: image acquisition, preprocessing, feature extraction and matching. In an iris recognition system, preprocessing, especially iris localization plays a very important role. The speed and performance of an iris recognition system is crucial and it is limited by the results of iris localization to a great extent. In this paper, we propose new pupil localization for finding the iris inner boundary based on wavelet transform and analytic geometry relations. Extensive experimental results show that the proposed algorithm in addition to higher speed and lower calculation cost and simplicity, has got an acceptable accuracy for internal boundary localization.