A New Face Recognition Method Based on Fast Least Squares Support Vector Machine
Rui Kong, Bing Zhang · Physics Procedia · 2011
In this paper we propose a new method for face recognition by combining Independent Component Analysis(ICA) and Support Vector Machine(SVM). Firstly we extract face features by using Informax algorithm. We then implement face recognition using FLS-SVM algorithm. We compare classical method of Principal Component Analysis (PCA) and our new method using ORL face database. The experiment results show the performance of our method is significantly superior to that of PCA-based method. The recognition speed of our method is faster than that of classical SVM algorithms.