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dc.contributor.authorNguyen, Hoang Mark
dc.contributor.authorReddy, Narsi
dc.contributor.authorRattani, Ajita
dc.contributor.authorDerakhshani, Reza R.
dc.date.accessioned2021-05-07T21:34:40Z
dc.date.available2021-05-07T21:34:40Z
dc.date.issued2021-02-21
dc.identifier.citationNguyen H.., Reddy N., Rattani A., Derakhshani R. (2021) VISOB 2.0 - The Second International Competition on Mobile Ocular Biometric Recognition. In: Del Bimbo A. et al. (eds) Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, vol 12668. Springer, Cham. https://doi.org/10.1007/978-3-030-68793-9_14en_US
dc.identifier.isbn978-3-030-68792-2
dc.identifier.isbn978-3-030-68793-9
dc.identifier.urihttps://doi.org/10.1007/978-3-030-68793-9_14
dc.identifier.urihttps://soar.wichita.edu/handle/10057/19974
dc.descriptionClick on the URL link to access this conference paper on the publisher’s website (may not be free.)en_US
dc.description.abstractFollowing the success of VISOB 1.0 visible light ocular biometrics competition at IEEE ICIP 2016, we organized VISOB 2.0 competition at IEEE WCCI 2020. The aim of VISOB 2.0 competition was to evaluate and compare the performance of ocular biometrics recognition approaches in visible light using (a) stacks of five images captured in burst mode and (b) subject-independent evaluation, where subjects do not overlap between training and testing set. We received three submissions in which the authors developed various deep learning based and texture-analysis based methods. The best results were obtained by a team from Federal University of Parana (Curitiba, Brazil), achieving an Equal Error Rate (EER) of 5.25% in a subject-independent evaluation setting.en_US
dc.language.isoen_USen_US
dc.publisherSpringer, Chamen_US
dc.relation.ispartofseriesLecture Notes in Computer Science;Vol. 12668
dc.subjectSecurityen_US
dc.subjectIntrusion detectionen_US
dc.subjectSide-channel defenseen_US
dc.subject3D-printingen_US
dc.subjectAdditive manufacturingen_US
dc.titleVISOB 2.0 - The second international competition on mobile ocular biometric recognitionen_US
dc.typeConference paperen_US
dc.rights.holder© Springer Nature Switzerland AG 2021en_US


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