Comparative Study of Face Recognition Classifier Algorithm
Wen Hui Zhan · Applied Mechanics and Materials · 2014
On the basis of the analysis of characteristics, application occasion, and limitations, comparison simulations are performed with the combined methods by means of AT&T face database. The paper present the method based on PCA and FLDA which can improve the recognition precision and shorten the recognition time, and show the comparative results of the three combined methods based on PCA respectively combined with FLDA, SVM, and Bayes.