Abstract：Based on a new theory model-BPR(Biomimetic Pattern Recognition),a face recognition system is implemented.In order to compare the recognition performance of it with that of some TPR (traditional pattern recognition),such as NN-based method and SVM-based methods with different types of kernel functions,using the ORL face database,we analyze the misclassification rate and false acceptance rate at the same level of the correct recognition rate by adjusting parameters of different algorithms.Comparison results show that our method is superior to the other two methods.
王守觉;曲延锋;李卫军;覃 鸿. 基于仿生模式识别与传统模式识别的 人脸识别效果比较研究[J]. 电子学报, 2004, 32(7): 1057-1061.
WANG Shou-jue;QU Yan-feng;LI Wei-jun;QIN Hong. Face Recognition:Biomimetic Pattern Recognition vs. Traditional Pattern Recognition. Chinese Journal of Electronics, 2004, 32(7): 1057-1061.
2004, Vol. 32 
