Pseudo training sample method for face recognition using HMMs

In this paper, a pseudo training sample method is proposed for face recognition using 1D HMMs. The proposed approach uses KL transformed vectors of face images to train ergodic HMMs and later for recognition. In the training process, besides the real face images, pseudo face images are generated using the real images and also used for training. Recognition accuracy is improved a lot in this way and analysis is given for the improvement. Our method achieves good recognition accuracy on ORL face database. The pseudo training sample method is very useful for most practical situations that there are not enough images for training.