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Recognition of Image-Orientation-Based Iris Spoofing.

, , , and . IEEE Trans. Inf. Forensics Secur., 12 (9): 2184-2196 (2017)

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Representing and Reasoning About Object Functionality: Towards an Integrated Approach., , and . Intelligent Robots, volume 27 of Series in Machine Perception and Artificial Intelligence, page 180-197. World Scientific, (1996)The prediction of old and young subjects from iris texture., , and . ICB, page 1-5. IEEE, (2013)Aspect Graphs And Nonlinear Optimization In 3-D Object Recognition., , and . ICCV, page 501-507. IEEE, (1988)Why are neural networks sometimes much more accurate than decision trees: an analysis on a bio-informatics problem., , , and . SMC, page 2851-2856. IEEE, (2003)Ensembles in face recognition: tackling the extremes of high dimensionality, temporality, and variance in data., and . SMC, page 2346-2351. IEEE, (2005)Decision tree learning on very large data sets., , and . SMC, page 2579-2584. IEEE, (1998)Why aspect graphs are not (yet) practical for computer vision., , , , , , , and . CVGIP: Image Understanding, 55 (2): 212-218 (1992)Function from visual analysis and physical interaction: a methodology for recognition of generic classes of objects., , and . Image Vis. Comput., 16 (11): 745-763 (1998)Automatic facial attribute analysis via adaptive sparse representation of random patches., and . Pattern Recognit. Lett., (2015)Genetically identical irises have texture similarity that is not detected by iris biometrics., , , , and . Comput. Vis. Image Underst., 115 (11): 1493-1502 (2011)