The Key Of Technology Research In Face Recognition

As one of the most successful applications of image analysis and understanding, Face recognition has recently received significant attention, especially during the few Years.Presently,the research about Face Recognition is mainly in two ways. One is based on the method of transcendent knowledge including template matching and Face rules,the other is based on the method of learning and training. Hard to extract Characters and accessible to light and accouterment are the main difficulties of Face Recognition technology.A combined method for face detection is proposed using skin segmentation and statistical approach. Firstly, human face color information is used to segment images into skin color and non-skin color part. Then the skin area is dealed with a arithmetic based on boundary method and area method. The experiments show that this method has the features of high speed and high efficiency.The basic principle and algorithm steps of BP Neural Network used in face recognition system are introduced in this paper, the physical meaning and the choosing principle of the number of hiding layer cells are proposed, the advanced form of sigmoi-d function and the initial values setting principle are also discussed .Finally, the article provides a whole solution for identity authentication systems Applying Face Recognition technology.