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https://elib.vku.udn.vn/handle/123456789/46
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mai, Lam | - |
dc.date.accessioned | 2018-12-06T07:19:56Z | - |
dc.date.available | 2018-12-06T07:19:56Z | - |
dc.date.issued | 2015 | - |
dc.identifier.uri | http://thuvien.cit.udn.vn//handle/123456789/46 | - |
dc.description.abstract | Periocular 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.iso | vi | vi_VN |
dc.subject | periocular recognition | vi_VN |
dc.subject | biometrics | vi_VN |
dc.subject | infrared images | vi_VN |
dc.subject | local binary patterm | vi_VN |
dc.subject | feature extraction | vi_VN |
dc.title | PERIOCULAR RECOGNITION BASED ON LOCAL BINARY PATTERN FOR INFRARED IMAGES | vi_VN |
dc.title.alternative | NHẬN DẠNG VÙNG QUANH MẮT DỰA TRÊN MẪU NHỊ PHÂN CỤC BỘ CHO HÌNH ẢNH HỒNG NGOẠI | vi_VN |
dc.type | Article | vi_VN |
Appears in Collections: | CITA 2015 |
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