However, The Degree Of Face Detection Based On Skin Color And Images Like

Human face detection problem, originated in face recognition research as its first step to locate faces in the images, has recently been intensively researched as an independent problem because of its applications in many different fields including security access control, visual surveillance, content-based information retrieval, advanced human and computer interaction. In this paper we present a new approach of face detection based on skin-color and the similarity of image sets in accordance with the cognitive law. Experiment shows that the method has good detection result even in complex background. Firstly ,human skin-color information is used to segment images into skin color region and non-skin color region, then pretreat the skin-color region and come into the phase of image similarity . The phase of image similarity is divided into training phase and detection phase. In training phase , singular value vector of a lot of face image information matrix from face image sets constitutes face image sets characteristic matrix as a column. Compare a lot of face image characteristic vector with face image sets characteristic matrix in order to get their similarity , and find the least value of similarity as threshold. In the detecting phase , Compute the similarity between characteristic vector of testing region in gray image and face image sets characteristic matrix ,if the similarity bigger or equal to threshold then the testing region is a human face ,otherwise is not.