东华大学学报（英文版）2004，Vol.21Issue(1)：34-38,5.
Hybrid SVM/HMM Method for Face Recognition
Hybrid SVM/HMM Method for Face Recognition
摘要
Abstract
A face recognition system based on Support Vector Machine (SVM) and Hidden Markov Model (HMM) has been proposed. The powerful discriminative ability of SVM is combined with the temporal modeling ability of HMM. The output of SVM is moderated to be probability output, which replaces the Mixture of Gauss (MOG) in HMM. Wavelet transformation is used to extract observation vector, which reduces the data dimension and improves the robustness.The hybrid system is compared with pure HMM face recognition method based on ORL face database and Yale face database. Experiments results show that the hybrid method has better performance.关键词
SVM/HMM/face recognition/probabilityoutput/wavelet transformationKey words
SVM/HMM/face recognition/probabilityoutput/wavelet transformation分类
生物科学引用本文复制引用
刘江华,陈佳品,程君实..Hybrid SVM/HMM Method for Face Recognition[J].东华大学学报（英文版）,2004,21(1):34-38,5.基金项目
This project is supported by the National Natural Science Foundation of China (No. 69889050) （No. 69889050）
