An improved method on Chinese character recognition
Genetic algorithm (GA) is an effective method to optimize system parameters. Chinese character recognition post-processing (CCRP) based on GA gets good result, but the better results are obtained after the method is improved. GA relies on the Chinese character itself and context information. In improved method, the parameters of single character recognition (SCR) model are conditional probabilities that can be converted into posterior probabilities by theoretic analysis. On the basis of SCR output analysis, posterior probabilities of candidates are obtained by statistical method. Experiment shows that post-processing performance depends on efficient evaluation of posterior probability, besides proper method. The character recognition average rate of the tested texts is from 96.93% to 97.98%, from 96.93% to 98.47% after improvement, and improves 0.49%.