Approach of face recognition based on continuous hidden Markov model

A human face recognition approach based on the continuous hidden Markov model is proposed,its essential contents list as follows:①With the stability and the transposes the invariability,singular value decomposition is used to extract the character of the face image as the observed value array for the normalized face image.②In the face automatic recognition system,a continuous HMM method is used to recognize face and the two Gaussian pdf is adopted to build up the HMM model,and then the model could be used in identifying face.The results of experiments show that the method proposed reduces the computing time,runs faster,and the recognition rate is in-creased,so it can satisfy the needs of real-time face recognition.