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Human and Machine Performance on Periocular Biometrics Under Near-Infrared Light and Visible Light.

, , , , , and . IEEE Trans. Inf. Forensics Secur., 7 (2): 588-601 (2012)

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Iris recognition using signal-level fusion of frames from video., , , and . IEEE Trans. Inf. Forensics Secur., 4 (4): 837-848 (2009)Useful features for human verification in near-infrared periocular images., , and . Image Vis. Comput., 29 (11): 707-715 (2011)Identifying useful features for recognition in near-infrared periocular images., , and . BTAS, page 1-8. IEEE, (2010)Human and Machine Performance on Periocular Biometrics Under Near-Infrared Light and Visible Light., , , , , and . IEEE Trans. Inf. Forensics Secur., 7 (2): 588-601 (2012)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)Improved Iris Recognition through Fusion of Hamming Distance and Fragile Bit Distance., , and . IEEE Trans. Pattern Anal. Mach. Intell., 33 (12): 2465-2476 (2011)Image Averaging for Improved Iris Recognition., , and . ICB, volume 5558 of Lecture Notes in Computer Science, page 1112-1121. Springer, (2009)A Survey of Iris Biometrics Research: 2008-2010., , and . Handbook of Iris Recognition, Springer, (2013)All-Pairs: An Abstraction for Data-Intensive Computing on Campus Grids., , , , , and . IEEE Trans. Parallel Distributed Syst., 21 (1): 33-46 (2010)