Research on the method of handprinted Chinese character recognition

This paper presents the new methods of stroke extraction directly from handprinted Chinese character dot matrix, and Chinese character classification according to its structural relation based on stroke feature, as well as the construction of a recognition dictionary in handprinted Chinese character recognition. These methods are characterized by simple algorithm, powerful classification, fast recognition and easy dictionary maintenance. Based on these methods, a full-page handprinted Chinese characters recognition system has been made with better than 93.1% recognition accuracy for all the commonly used 3755 Chinese characters (first class).