Face Disguise Detection System Based on Template Matching and Nose Detection

作者: Jae-Jun Yang , Seong-Won Cho , Kee-Seong Lee

DOI: 10.5391/JKIIS.2012.22.1.100

关键词:

摘要: Recently the need for advanced security technologies are increasing as occurrence of intelligent crime is growing fastly. Previous methods face disguise detection required improvement accuracy in order to be put practical use. In this paper, we propose a new method using template matching and Adaboost algorithm. The proposed system detects eyes based on multi-scale Gabor feature vector first stage, uses technique oreder increase second stage. plays role determining whether or not person captured image has sunglasses on. algorithm used determine wears mask. Experimental results indicate that superior previous faces.

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