Study On The Safety Technology Of Information Based On Face Recognition

Face recognition is a challenge subject in the field of pattern recognition and it has important theory and appliance value.In this paper, we first introduce the current research, methods and trend on face recognition. Then we respectively discuss face image preprocessing, face feature extraction and the design of classifiers.In the course of image preprocessing, digital face images are captured with a numeral camera and these images are transformed to 8 bit from 24 bit. Then the noise in face images are removed by using the method of median filter and the face images are binarized. Finally the face in each face image are segmented with the method of integration projection, then standardized. Standard face images are formed through the above-mentioned processing.During the feature extraction, for those standard face images, regarding the between-class scatter matrix as generating matrix,we extract the algebraic features of face images through K-L transform and singular value decomposition.In the course of classifiers design, considering that the single classifier has not high recognition rate, we construct a combining classifier with a minimum distance classifier and a fuzzy NN classifier to improve the recognition rate.Finally, the experiment results efface recognition are presented and analyzed. The results indicate that the extracted face features are valid and the design of classifier is sound and efficient.