Face recognition method based on rough set and integrated learning

The invention discloses a face recognition method based on rough set and integrated learning. The face recognition method includes steps of 1, extracting face images to preprocess and generate decision tables; 2, subjecting the decision tables to attribute reduction to obtain the optimal attribute reduction space; 3, selecting an optimal attribute reduction combination random from the optimal attribute reduction space and storing; 4, calculating dependency degree of each condition attribute in the optimal attribute reduction combination; 5, reducing reduction space according to the dependency degree; 6, selecting the optimal attribute reduction combination from the reduced reduction space and storing; 7, judging the number of the stored optimal attribute reduction combination is up to the preset value, if yes, returning to the step 4, otherwise, training a basic classifier by the stored optimal attribute reduction combination and recognizing the face images. Through attribute reduction of the face images, recognition rate and stability of the face images are improved. The face recognition method can be used for anti-terrorist safety, case investigation and evidence collection and confidentiality of business and individual privacy.