Multiple candidate characters in the post-processing for off-line handwritten Chinese character recognition

The size of candidate character set is very important in the contextual post-processing for Chinese character recognition, which should be changed with the script´s recognition accuracy of isolated Chinese character recognition. In this paper, based on the confidence theory of candidate character, two methods are proposed to automatically decide the size of candidate character set. One is called static decision method in light of the script´s overall situation, and the other is called dynamic decision method in allusion to each candidate character set in the script. Experimental results on off-line handwritten Chinese character recognition show the effectiveness of the proposed methods