Face Detection And Recognition Based On Web

The technology of face recognition is a technology that uses the computer to analyze the image and discriminate identity or recognize status from the worked image. It is a research area spanning several disciplines such as image processing, pattern recognition, computer vision, physiology and psychology. Now it is one of the key issues. Face detection problem is firstly proposed as a key step of face recognition system. And with the extensive development of face recognition and advancement of developing practical system ,face detect is developing into a independent research field.Aim to construct a usable and practical face detection and recognition system, this paper gave a review on the history of face detection and recognition at first, then mainly discussed the face detection and recognition problems in dynamic color image under complex background.First, the paper deeply analyzes the process of face detection which is based on adaboost algorithm. then it use face detection method based on AdaBoost learning algorithm, which selects few key haar-like features from a large set of features, to build a robust cascade classifier. Because too little trained sample can cause the low accuracy of detection , I propose the twice identification method, then the good result is achieved.This paper also researches the new method of technology of face recognition which is based on the integration of Eigenface, singular value decomposition, wavelet theory and BP Neural Network. By the study, we adopted face dimension-reduction methods by the k-l transform on the picture. With the face detection methods above the paper successfully construct a complete practical face recognition system.Finally, in order to make the system share information with other system, the paper constructs a web platform under J2EE structure and realize face detection module for multi person face detection under complex background.