High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian Approach to Deformed Pattern Matching of Iris Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
A Biometric Key-Binding and Template Protection Framework Using Correlation Filters
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Iris segmentation using geodesic active contours
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Extended-depth-of-field iris recognition using unrestored wavefront-coded imagery
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
A two-phased approach to reducing the false accept rate of spoofed iris codes
Proceedings of the 48th Annual Southeast Regional Conference
GESLIC: genetic and evolutionary-based short-length iris codes
Proceedings of the 49th Annual Southeast Regional Conference
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The iris is considered one of the most reliable and stable biometrics as it is believed to not change significantly during a person's lifetime. Standard techniques for iris recognition, popularized by Daugman, apply Gabor wavelet analysis for feature extraction. In this paper, we consider an alternative method for iris recognition, the use of advanced distortion-tolerant correlation filters for robust pattern matching. These filters offer two primary advantages: shift invariance, and the ability to tolerate within-class image variations. The iris images we use in our experiments are from the CASIA database and also from an iris database we collected at CMU. In this paper, we perform automatic segmentation of the iris (which surrounds the pupil) from the rest of the eye, normalizing for scale and pupil dilation. We then use these segmented iris images to compare the recognition performance of various methods, including Gabor wavelet feature extraction, to correlation filters.