An Improved Algorithm Based on Embedded Hidden Markov Model Structure for Face Recognition

An improved embedded hidden Markov model structure for face recognition is presented.The model not only improves the recognition rate,but also reduces the train and recognition time costs dramatically.Experimental results show that the highest recognition rate of 100% is achieved.The most exciting thing is that the structure can shrink 30% time costs than traditional structure both on train and recognition stage.