1. A face recognition method, comprising: obtaining an original face image to be recognized; performing down-sampling on the original face image to obtain at least one down-sampled image whose size is different from a size of the original face image; performing block partition processing on each down-sampled image and the original face image to obtain at least two image blocks on which block partition processing is performed; extracting features of the image blocks on which block partition processing is performed to obtain features of the image blocks; wherein extracting features of the image blocks on which block partition processing is performed to obtain features of the image blocks comprises: performing local binary pattern (LBP) descriptor extraction on each image block on which block partition processing is performed to obtain an LBP histogram of each image block; and extracting, according to the LBP histogram of each image block, a feature vector of each image block on which block partition processing is performed; performing similarity matching between the feature of each image block and features of image blocks corresponding to a pre-registered face image to obtain a similarity of each image block; and obtaining a face image recognition result according to an obtained similarity between all the image blocks.