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Identifying useful features for recognition in near-infrared periocular images.

, , and . BTAS, page 1-8. IEEE, (2010)

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Identifying useful features for recognition in near-infrared periocular images., , and . BTAS, page 1-8. IEEE, (2010)Useful features for human verification in near-infrared periocular images., , and . Image Vis. Comput., 29 (11): 707-715 (2011)Iris recognition using signal-level fusion of frames from video., , , and . IEEE Trans. Inf. Forensics Secur., 4 (4): 837-848 (2009)Image understanding for iris biometrics: A survey., , and . Comput. Vis. Image Underst., 110 (2): 281-307 (2008)Similarity of iris texture between identical twins., , and . CVPR Workshops, page 22-29. IEEE Computer Society, (2010)Image Averaging for Improved Iris Recognition., , and . ICB, volume 5558 of Lecture Notes in Computer Science, page 1112-1121. Springer, (2009)Pupil dilation degrades iris biometric performance., , and . Comput. Vis. Image Underst., 113 (1): 150-157 (2009)All-Pairs: An Abstraction for Data-Intensive Computing on Campus Grids., , , , , and . IEEE Trans. Parallel Distributed Syst., 21 (1): 33-46 (2010)