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Genetic & Evolutionary Type II feature extraction for periocular-based biometric recognition.

, , , , , , and . IEEE Congress on Evolutionary Computation, page 1-4. IEEE, (2010)

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Observations of Collaborative Behavior in COMPS Computer Mediated Problem Solving., , , and . MAICS, volume 1348 of CEUR Workshop Proceedings, page 71-77. CEUR-WS.org, (2013)Genetic-Based Type II Feature Extraction for Periocular Biometric Recognition: Less is More., , , , , and . ICPR, page 205-208. IEEE Computer Society, (2010)SSGA & EDA based feature selection and weighting for face recognition., , , , , , and . IEEE Congress on Evolutionary Computation, page 1375-1381. IEEE, (2011)Genetic & Evolutionary Type II feature extraction for periocular-based biometric recognition., , , , , , and . IEEE Congress on Evolutionary Computation, page 1-4. IEEE, (2010)Hybrid GAs for Eigen-based facial recognition., , , , , , , and . CIBIM, page 127-130. IEEE, (2011)GEFE: genetic & evolutionary feature extraction for periocular-based biometric recognition., , , , , and . ACM Southeast Regional Conference, page 44. ACM, (2010)Genetic based LBP feature extraction and selection for facial recognition., , , , , , , , and . ACM Southeast Regional Conference, page 197-200. ACM, (2011)Iris Template Extraction Via Bit Inconsistency and GRIT., , , , , and . Encyclopedia of Biometrics, Springer US, (2015)Genetic and evolutionary biometrics: Exploring value preference space for hybrid feature weighting and selection., , , , , and . Int. J. Intell. Comput. Cybern., 6 (1): 4-20 (2013)GESLIC: genetic and evolutionary-based short-length iris codes., , and . ACM Southeast Regional Conference, page 201-204. ACM, (2011)