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http://dx.doi.org/10.9728/dcs.2012.13.2.189

Face Detection in Near Infra-red for Human Recognition  

Lee, Kyung-Sook (경북대학교 IT대학 모바일통신공학과)
Kim, Hyun-Deok (경북대학교 IT대학)
Publication Information
Journal of Digital Contents Society / v.13, no.2, 2012 , pp. 189-195 More about this Journal
Abstract
In this paper, face detection method in NIR(Near-InfraRed) images for human recognition is proposed. Edge histogram based on edge intensity and its direction, has been used to detect effectively faces on NIR image. The edge histogram descripts and discriminates face effectively because it is strong in environment of lighting change. SVM(Support Vector Machine) has been used as a classifier to detect face and the proposed method showed better performance with smaller features than in ULBP(Uniform Local Binary Pattern) based method.
Keywords
Face detection; Local Binary Pattern(LBP); Support Vector Machine(SVM);
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