Face Detection Based on Feature Analysis and Edge Detection against Skin Color-like Backgrounds

In this paper, we propose a method of face detection based on feature analysis and edge detection against skin color-like backgrounds. The proposed method consists of three phases including image preprocessing, skin color segmentation, and determination of face candidates. First, the objects in foreground are separated by image preprocessing. Second, the non-skin color objects are rejected by the method of skin color segmentation. Finally, both the elimination of skin color-like blobs in backgrounds and face detection are performed by the method of determination of face candidates. Experimental results show that the proposed method can effectively detect most of faces in skin color-like backgrounds. In addition, detection of face images with pose and expression variations or against dark backgrounds are also carried out.