Face Recognition Based on Improved Maximum Margin Criterion and Support Vector Machine
In order to increase face recognition rate,improves the facial feature extraction method of maximum margin criterion.Through increasing the distance tuning function into the between-class scatter matrix,selects the optimal discriminant vectors.Uses support vector machine multi-classification algorithm to identiy the extracted features of the improved methods.The experiment result on ORL face database shows that the improved method is robust to illumination and pose,and it is better than the traditional method in terms of efficiency about feature extraction.