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Post-Mortem Iris Recognition - A Survey and Assessment of the State of the Art., , , , , , , , , and 2 other author(s). IEEE Access, (2020)An Analysis of 1-to-First Matching in Iris Recognition., and . CoRR, (2017)Predicting Gender From Iris Texture May Be Harder Than It Seems., and . WACV, page 904-912. IEEE, (2019)Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection., , , , and . IEEE Trans. Inf. Forensics Secur., 14 (6): 1419-1431 (2019)Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition., , , , and . CoRR, (2022)Found a good match: Should I keep searching? - Accuracy and performance in iris matching using 1-to-First search., and . Image Vis. Comput., (2018)An analysis of 1-to-first matching in iris recognition., and . WACV, page 1-8. IEEE Computer Society, (2016)Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition., , , , , , and . WACV (Workshops), page 359-368. IEEE, (2022)Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition., , , , and . WACV (Workshops), page 701-710. IEEE, (2023)Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection., , , , and . CoRR, (2018)