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Periocular biometrics: constraining the elastic graph matching algorithm to biologically plausible distortions., and . IET Biom., 3 (4): 167-175 (2014)Deep representations for cross-spectral ocular biometrics., , , , and . IET Biom., 9 (2): 68-77 (2020)Introduction to the Special Issue on the Recognition of Visible Wavelength Iris Images Captured At-a-distance and On-the-move., and . Pattern Recognit. Lett., 33 (8): 963-964 (2012)Periocular recognition: how much facial expressions affect performance?, , , , and . Pattern Anal. Appl., 19 (2): 517-530 (2016)A Method for the Identification of Noisy Regions in Normalized Iris Images., and . ICPR (4), page 405-408. IEEE Computer Society, (2006)Robust periocular recognition by fusing local to holistic sparse representations., , and . SIN, page 160-164. ACM, (2013)Facial expressions: Discriminability of facial regions and relationship to biometrics recognition., , and . CIBIM, page 77-80. IEEE, (2013)UBEAR: A dataset of ear images captured on-the-move in uncontrolled conditions., , , and . CIBIM, page 84-90. IEEE, (2011)Periocular biometrics: An emerging technology for unconstrained scenarios., and . CIBIM, page 14-21. IEEE, (2013)A Method for the Identification of Inaccuracies in Pupil Segmentation., and . ARES, page 224-228. IEEE Computer Society, (2006)