The present disclosure relates to a reverse image search method. The reverse image search method may include receiving a search image; extracting feature points of the search image; finding classes corresponding to the feature points of the search image respectively in an image classification index table, the classes comprising images in an image library; and searching the classes corresponding to the feature points of the search image in the image classification index table to obtain a target image having the largest number of identical feature points of the search image.