The Research Of Face Detection And Recognition Technology Based On Color Image

Human face detection and recognition has applied more and more on the area such as security system, human ID, digital surveillance and so on. As a biologic technology which possesses great developable potential, it has become one of the most active research topics, and more and more investigators put their attention on this topic.The human face detection and recognition of color image is the studied object. In this paper some new methods have been presented, and also improve on some existed methods. This paper has two main parts, one is the face detection, and the other is the face recognition.In the part of face detection, the conception and principle of skin color model have been introduced first. Then the skin color area can be segmented and the approximate face region can be located according to the skin color model. After comprising the edge detection operators which can be used on face detection, the Canny operator is chose to detect the edge information. One eyes' positioning method is introduce. The principle is detecting circles in the eyes regions with the geometry property of circle. Then the methods of positioning the nose and mouth are introduced which used the luminance and chroma information. The 3-order based spline curve is use to simulate the border of nose. Then the exacted region of face can be located, which eliminates the factors such as neck.In this paper, the face recognition implementation is based on the HMM.A predigest method of observation sequence is proposed. Using the wavelet transform to compress the information of image. Define seemliness sampling window to extract gray as the feature in the compress region based on the results of face detection. And then the process of training HMM can be predigested.The lots of experimental results prove the validity and accurately of the algorithms of face detection and face recognition presented in this paper.