Based on Figure Segment and BP Neural Network Met Face RecognitionMethod

Face recognition technology today has become one of hotspots and difficulty in research of pattern recognition. After numerous scientific research personnel after years of efforts, it has made many achievements in this field. But because of the complexity of the face recognition problem itself, there are many critical problems need to solve and achieve common application. This paper first introduces the background of face recognition. Development situation and the main method of face recognition uses feature extraction based on wavelet transform and KL transform and uses the BP neural network as the classifier of face recognition methods. It simulates results to have a certain effect. It shows that this method is a feasible method for face recognition.