Printed Chinese character recognition used in table processing

A kind of printed Chinese character recognition method is proposed and a corresponding system is implemented referring to 500 common used Chinese characters in table. firstly, preprocess the input Chinese character image and get the normalized Chinese character image. Then carry out the first level rough classification by using the area of Chinese character image and the second level rough classification by means of Artificial Neural Network technology. The purpose of doing so is to reduce the number of candidate Chinese character and raise the recognition speed. Finally, carry out the final fine discrimination by using the stroke of Chinese character and give out the resulting Chinese character. The recognition ratio of the system can get 98% and the recognition speed is 3 Chinese character per second. Because the conventional pattern recognition technology and Artificial Neural Network technology are combined, the instability and indeterminacy are avoided and the system is highly adaptable.