基于遗传算法的手写体汉字识别系统优化方法的研究  

RESEARCH ON OPTIMIZATION OF A HANDWRITTEN CHINESE CHARACTER RECOGNITION SYSTEM BASED ON GENETIC ALGORITHM

作　　者：林磊[1] 王晓龙[1] 刘家锋[1] 

机构地区：[1]哈尔滨工业大学计算机科学与工程系,哈尔滨150001

出　　处：《计算机研究与发展》2001年第6期658-661,共4页Journal of Computer Research and Development

基　　金：国家自然科学基金项目资助!(69973 0 15 )

摘　　要：为了改善手写体汉字识别系统的性能 ,提出了前端单字识别器 (SCR)和后端语言解码器 (post- processingsystem )有效结合的模型 ,并且利用遗传算法对系统参数进行优化 .以联机手写体汉字识别系统作为 SCR进行测试 ,首选准确率为 6 9.46 % ,汉字识别的准确率达到 87.5 9% ,较优化前提高 6 .4% .实验结果表明 ,遗传算法 (GA )是一种有效的优化系统参数的方法 .In order to improve the accuracy of a handwritten Chinese character recognition system, a model is presented, which combines SCR and post-processing system. Genetic algorithm is applied to optimize system parameters. Tested on an online handwritten Chinese character recognition system(SCR), 87.59% accuracy is achieved when first character candidate accuracy rate is 69.46%, and optimization contributes 6.4% improvement. The experiment results show that genetic algorithm (GA) is an effective method to optimize system parameters.

关 键 词：手写体汉字识别系统 遗传算法 优化 计算机 

分 类 号：TP391.43[自动化与计算机技术—计算机应用技术]