A new approach for recognition multifont Chinese characters used in a special application

Abstract

Proposes an algorithm, which satisfies real time process requirements and has a high recognition rate, for recognizing a limited set of multifont Chinese characters used in a special application. Stroke is one of the major features of Chinese characters. Since the aim of the proposed method is to recognize a special set of printed Chinese characters, only the horizontal/vertical strokes and the crossings among these two types of strokes are used as the features of characters. In the learning stage, a random model for each type of characters is established. In the recognition stage, the character model which has the minimal error with the input pattern is considered as the recognition result. The proposed recognizer is insensitive to noise. Some experimental results show that the method exactly provides high recognition rate and has high computing speed. >