High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A robust method for eye features extraction on color image
Pattern Recognition Letters
A New Localization Method for Iris Recognition Based on Angular Integral Projection Function
ETCS '09 Proceedings of the 2009 First International Workshop on Education Technology and Computer Science - Volume 03
Efficient iris recognition by characterizing key local variations
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Fast and iterative algorithm for iris detection with orthogonal polynomials transform
Proceedings of the 2011 International Conference on Communication, Computing & Security
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Iris-based recognition system is highly dependent on the accuracy of iris localization. In this paper, a new algorithm for iris localization is presented, it detects the precise pupil contour and localizes limbus boundary. The pupil boundary is first localized by fitting a circle to the set of pupil boundary points detected by using the angular integral projection function (AIPF). Then, the precise contour is detected using active contour model initialized on the pupil circle. While for the localization of limbus boundary, the AIPF is applied again within two rectangles on both iris sides. Experimental results on CASIA V3.0 iris image database, prove that the proposed algorithm improves the accuracy and performance of iris localization.