1. A method of recognizing a confusable character, comprising: recognizing, by a processor, a detected character image to obtain initial character information corresponding to the character image; setting, by the processor, a feature area corresponding to the character image according to a character shape in the initial character information if the initial character information is a confusable character, and calculating, by the processor, the number of changes in gradient corresponding to the feature area; and determining, by the processor, final character information corresponding to the character image according to the number of changes in gradient; wherein calculating the number of changes in gradient corresponding to the feature area comprises: calculating the number of times that adjacent white pixel regions or adjacent black pixel regions among regions into which the feature area is divided are of different lengths as the number of changes in gradient corresponding to the feature area; or scanning the feature area per row, recording the locations of white-and-black transitions, and counting the number of times that the locations of white-and-black transitions are not in the same column across two adjacent rows as the number of changes in gradient corresponding to the feature area; or scanning the feature area per column, recording the locations of white-and-black transitions, and counting the number of times that the locations of white-and-black transitions are not in the same row across two adjacent columns as the number of changes in gradient corresponding to the feature area.