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Gender and Kinship by Model-Based Ear Biometrics

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dc.contributor.authorMeng, Di
dc.contributor.authorNixon, Mark S.
dc.contributor.authorMahmoodi, Sasan
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2020-09-15T13:01:27Z
dc.date.available2020-09-15T13:01:27Z
dc.date.issued2019
dc.description.abstractMany studies in biometrics have shown how identity can be determined, including by images of ears. In the paper, we show how model an ear and how the gender appears to often be manifest in the ear structures, as is kinship or family relationship. We describe a new model-based approach for viewpoint correction and ear description to enable this analysis. We show that with the new technique having satisfactory basic recognition capability (recognizing individuals with performance similar to state of art), gender can achieve 67.2% and kinship 40.4% rank 1 recognition on ears from subjects with unconstrained pose.en
dc.identifier.isbn978-3-88579-690-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34230
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2019 - Proceedings of the 18th International Conference of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-297
dc.subjectmodel-based
dc.subjectgeometric features
dc.subjectgender classification
dc.subjectkinship verification
dc.titleGender and Kinship by Model-Based Ear Biometricsen
dc.typeText/Conference Paper
gi.citation.endPage204
gi.citation.publisherPlaceBonn
gi.citation.startPage197
gi.conference.date18.-20. September 2019
gi.conference.locationDarmstadt, Germany
gi.conference.sessiontitleFurther Conference Contributions

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P296 - BIOSIG 2019 - Proceedings of the 18th International Conference of the Biometrics Special Interest Group