An efficient randomized algorithm for detecting circles
Computer Vision and Image Understanding
Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
An efficient approach to iris detection for iris biometric processing
International Journal of Computer Applications in Technology
Toward Accurate and Fast Iris Segmentation for Iris Biometrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
FRVT 2006 and ICE 2006 Large-Scale Experimental Results
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Robust Iris Localization Method Using an Active Contour Model and Hough Transform
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
A fast adaboosting based method for iris and pupil contour detection
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
UBIRIS: a noisy iris image database
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
New Methods in Iris Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Iris center location using Hough transform with two-dimensional parameter space
Journal of Computer and Systems Sciences International
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Circular shortest path detection method is tried for locating pupil and iris boundaries in eye image. Two types of its application are tested: detecting pupil and iris boundaries using given approximate eye center point and refining pupil boundaries using given approximate pupil circle. Brightness gradient direction was used to choose image pixels, which may belong to pupil or iris boundary. The method seems to have worse performance in the detection task compared to other known approaches doing the same, but appears to be useful in the refinement task. The method was tested with public domain iris databases, totally with more than 80000 images for the first type of application and with more than 16000 images for the second type.