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Identical Twins as a Facial Similarity Benchmark for Human Facial Recognition

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dc.contributor.authorMcCauley, John
dc.contributor.authorSoleymani, Sobhan
dc.contributor.authorWilliams, Brady
dc.contributor.authorNasrabadi, Nasser
dc.contributor.authorDawson, Jeremy
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDamer, Naser
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorGomez-Barrero, Marta
dc.contributor.editorRaja, Kiran
dc.contributor.editorRathgeb, Christian
dc.contributor.editorSequeira, Ana
dc.contributor.editorUhl, Andreas
dc.date.accessioned2021-10-04T08:43:41Z
dc.date.available2021-10-04T08:43:41Z
dc.date.issued2021
dc.description.abstractThe problem of distinguishing identical twins and non-twin look-alikes in automated facial recognition (FR) applications has become increasingly important with the widespread adoption of facial biometrics. This work presents an application of one of the largest twin datasets compiled to date to address two FR challenges: 1) determining a baseline measure of facial similarity between identical twins and 2) applying this similarity measure to determine the impact of doppelgangers, or look-alikes, on FR performance for large face datasets. The facial similarity measure is determined via a deep Siamese convolutional neural network. The proposed network provides a quantitative similarity score for any two given faces and has been applied to large-scale face datasets to identify similar face pairs.en
dc.identifier.isbn978-3-88579-709-8
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/37443
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-315
dc.subjectFacial Similarity
dc.subjectFacial Recognition
dc.subjectIdentical Twins
dc.subjectLook-alikes
dc.titleIdentical Twins as a Facial Similarity Benchmark for Human Facial Recognitionen
dc.typeText/Conference Paper
gi.citation.endPage10
gi.citation.publisherPlaceBonn
gi.citation.startPage1
gi.conference.date15.-17. September 2021
gi.conference.locationInternational Digital Conference
gi.conference.sessiontitleRegular Research Papers

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P315 - BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group