Please use this identifier to cite or link to this item:
https://elib.vku.udn.vn/handle/123456789/46| Title: | PERIOCULAR RECOGNITION BASED ON LOCAL BINARY PATTERN FOR INFRARED IMAGES |
| Other Titles: | NHẬN DẠNG VÙNG QUANH MẮT DỰA TRÊN MẪU NHỊ PHÂN CỤC BỘ CHO HÌNH ẢNH HỒNG NGOẠI |
| Authors: | Mai, Lam |
| Keywords: | periocular recognition biometrics infrared images local binary patterm feature extraction |
| Issue Date: | 2015 |
| 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. |
| URI: | http://thuvien.cit.udn.vn//handle/123456789/46 |
| Appears in Collections: | CITA 2015 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.