Face Recognition Based on the Combination Method of Multiple Classifier

The study of human language comprehension machine has become a important research topic around the world. Face recognition has great potential application value in economic, security, social security, crime, military and other fields, especially in the occasions where need verification or identification of user identity. This paper presents improved Eigen face method and method for identification of multiclassifier fusion based on support vector machine. The combination of multiclassifiers method dose not only make full use of the support vector machine and high recognition rate and distance measurement, fast speed, the training and testing, but also use a distance metric results to guide the support vector machine. The experiments show that, the efficiency and the recognition accuracy of the multi-classifier combination method has higher efficiency and lower rate of error recognition.