Research And Design On Access System Based On The Face Relognifion Technology

Face recognition as a biology recognition technology. It is a particular application of pattern recognition in image field. Face can use in verification for Personal identification, gateways to limited access areas, authentification for bank and family security, etc.The automatic human face recognition system includes face location and face detection, feature extraction and face recognition.Face location and face detection find human face and the position from inputting picture. Then it cuts apart human face from the background. In this paper, I present a new approach of face detection based on skin-color and the similarity of image sets in accordance with the cognitive law. First, 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.Feature Extraction (FE) is the most significant part. FE is a process which transfers the data from primary spaces into feature space, representing, them in a lower dimensional space with less effective characters. Up to now, many methods of feature extraction have been proposed. Among them, the algorithm of Eigenface, the most widely-used method of linear map based on PCA (Principle Component Analysis), has become the main stream criterion to test the performance of various FV systems.To giving the introduction picture which includes the human face recognition technology is compared with and match known human face model that stored in the face storehouse, confirming whether it is one person in the storehouse or not, if yes, providing the best matching person in the storehouse can realize the purpose of human face recognition automatically.Based on the above theory and experiment, the article studies the automatic gateways to limited access system. The results of experiment indicate the new methods of the technology of human face detection and recognition are available.