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Texture-Based Eyebrow Recognition

dc.contributor.authorTurkoglu,Mehmet Ozgur
dc.contributor.authorArican,Tugce
dc.contributor.editorBrömme,Arslan
dc.contributor.editorBusch,Christoph
dc.contributor.editorDantcheva,Antitza
dc.contributor.editorRathgeb,Christian
dc.contributor.editorUhl,Andreas
dc.date.accessioned2017-09-26T09:20:59Z
dc.date.available2017-09-26T09:20:59Z
dc.date.issued2017
dc.description.abstractRecent studies show that eyebrows can be used as a biometric or soft biometric for recognition. In some scenarios such as partially occluded or covered faces, they can be used for recognition. In this paper, we study eyebrow recognition using texture-based features. We apply features which have not been used before for eyebrow recognition such as 3-patch local binary pattern and WLD (Weber local descriptor) features. Also, we use more conventional features such as uniform LBP (Local binary pattern) and HOG (Histograms of oriented gradients). Methods are tested on both small- and large-sized datasets of images taken from FRGC database. Our experiments show that using some of these texture-based features together increases the performance significantly. We achieved more than 95% recognition accuracy for left and right eyebrows.en
dc.identifier.isbn978-3-88579-664-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/4643
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBIOSIG 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-70
dc.subjecteyebrow recognition
dc.subjecttexture-based
dc.subjectlocal descriptor
dc.subjectHOG
dc.subjectLBP
dc.subject3-patch LBP
dc.subject4-patch LBP
dc.subjectWLD
dc.titleTexture-Based Eyebrow Recognitionen
gi.citation.endPage147
gi.citation.startPage137
gi.conference.date20.-22. September 2017
gi.conference.locationDarmstadt, Germany
gi.conference.sessiontitleRegular Research Papers

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