Please use this identifier to cite or link to this item: https://elib.vku.udn.vn/handle/123456789/46
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dc.contributor.authorMai, Lam-
dc.date.accessioned2018-12-06T07:19:56Z-
dc.date.available2018-12-06T07:19:56Z-
dc.date.issued2015-
dc.identifier.urihttp://thuvien.cit.udn.vn//handle/123456789/46-
dc.description.abstractPeriocular recognition has acquired attention recently in the biometrics research. Periocular refers to the face region in the nearby region of the eye, including the eye, eyelids, lashes and eyebrows. While face and irises have been extensively studied, the periocular region has appeared as a hopeful attribute for unconstrained biometrics, following demands for increased robustness of face or iris recognition systems. In this paper, we focus on applying Local Binary Pattern (LBP) for feature extractions of periocular recognition and carried out on the infrared image (IR) database of Nation Central University’s students.vi_VN
dc.language.isovivi_VN
dc.subjectperiocular recognitionvi_VN
dc.subjectbiometricsvi_VN
dc.subjectinfrared imagesvi_VN
dc.subjectlocal binary pattermvi_VN
dc.subjectfeature extractionvi_VN
dc.titlePERIOCULAR RECOGNITION BASED ON LOCAL BINARY PATTERN FOR INFRARED IMAGESvi_VN
dc.title.alternativeNHẬN DẠNG VÙNG QUANH MẮT DỰA TRÊN MẪU NHỊ PHÂN CỤC BỘ CHO HÌNH ẢNH HỒNG NGOẠIvi_VN
dc.typeArticlevi_VN
Appears in Collections:CITA 2015

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