Research of Face Recognition Method Based on Multiple Classifier Fusion

Abstract

In this paper, a recognition method for multiple classifiers is proposed, which combines an improved eigenface method with Support Vector Machine(SVM). The combining classifiers can make use of high recognition rate for SVM and high speed for distance classification. The distance classifier may classify the input images and give the final results when the rejecting rule is satisfied. Otherwise, these images are delivered to SVM for further classification. Experiment data show that the fusion of multiple classifiers for face recognition has higher efficiency, accuracy of recognition and lower rate of error recognition.