Local multi-value pattern face recognition method based on Weber law

The invention discloses a local multi-value pattern face recognition method based on the Weber law. The method includes a training stage and a recognition stage. In the training stage, firstly features of training samples are extracted, and three-level encoding is performed on the samples; then three-level encoding is converted into a Uniform mode, even block processing without overlapping is performed on images on which three-level encoding is performed, feature histograms of blocks are extracted, and all levels of the feature histograms of all the blocks are connected to obtain an overall feature histogram of a face image. In the recognition state, feature histograms of samples to be detected are extracted through the feature extraction method to be used as features to be detected, and then x2 probability statistics and nearest-neighbor classification methods are used for recognizing the samples to be detected. In face recognition, the method has better robustness in face illumination and posture, and the face recognition rate is improved.