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Eyebrow Deserves Attention: Upper Periocular Biometrics

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dc.contributor.authorNguyen, Hoang (Mark)
dc.contributor.authorRattani, V
dc.contributor.authorDerakhshani, Reza
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorRaja, Kiran
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2020-09-16T08:25:42Z
dc.date.available2020-09-16T08:25:42Z
dc.date.issued2020
dc.description.abstractOcular biometrics is attracting exceeding attention from research community and industry alike thanks to its accuracy, security, and ease of use in mobile devices, especially in the presence of occlusions such as masks worn during the COVID-19 pandemic. When considering the extended periocular region, eyebrows have not been getting enough attention due to their perceived low uniqueness. In this paper, we evaluate a mobile-friendly deep-learning model for eyebrow-based user authentication. Specifically, we used a fine-tuned lightCNN model for eyebrow based user authentication with promising results on a particularly challenging dataset and evaluation protocol (open-set with simulated twins). The methods achieved 0:99 AUC and 4:3% EER in VISOB dataset and 0:98 AUC and 5:6% EER on SiW datasets using closed-set and open-set analysis, respectively.en
dc.identifier.isbn978-3-88579-700-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34318
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-306
dc.subjectOcular biometrics
dc.subjecteyebrow biometrics
dc.subjectbiometric recognition
dc.titleEyebrow Deserves Attention: Upper Periocular Biometricsen
dc.typeText/Conference Paper
gi.citation.endPage116
gi.citation.publisherPlaceBonn
gi.citation.startPage107
gi.conference.date16.-18. September 2020
gi.conference.locationInternational Digital Conference
gi.conference.sessiontitleRegular Research Papers

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P306 - BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group