Reliable and Fast Eye Finding in Close-up Images
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Combining Crypto with Biometrics Effectively
IEEE Transactions on Computers
A Novel Circle Detection Method for Iris Segmentation
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 3 - Volume 03
Fast Algorithm for Iris Localization Using Daugman Circular Integro Differential Operator
SOCPAR '09 Proceedings of the 2009 International Conference of Soft Computing and Pattern Recognition
Fast algorithm for iris detection
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
A new accurate technique for iris boundary detection
WSEAS Transactions on Computers
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One of the difficult tasks in iris recognition is to detect the boundary between the iris region and the pupil region. This is due to the low texture contrast between them. In order to capture the degree of texture contrast between iris region and pupil region, we propose a novel algorithm that hybrid a difference function with a factor matrix. Experiments show that this algorithm can detect the boundary between iris region and pupil region accurately. Based on this algorithm, the percentage of successful segmentation is 99.34%.