Face recognition method based on self-adaption soft histogram local binary patterns

The invention discloses a face recognition method based on self-adaption soft histogram local binary patterns. The method comprises a training stage and a recognition stage. The training state comprises the steps that a training sample image is divided into even and non-overlapped rectangular blocks, the soft histogram local binary pattern of each sub-block is extracted, the similarity of every two intra-class histograms and the similarity of every two inter-class histograms are calculated respectively, an energy function is worked out according to the Fisher recognition rate, and finally the local optical solution of the energy function is obtained by using the gradient descent method to obtain the optimal fuzzy membership degree function. The recognition stage comprises the steps that a sample image to be recognized and a training set are equally divided into even and non-overlapped rectangular blocks, the self-adaption soft histogram local binary patterns of the sample image and the training set are extrac