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.
出处
《计算机研究与发展》
EI
CSCD
北大核心
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 )
关键词
手写体汉字识别系统
遗传算法
优化
计算机
handwritten Chinese character recognition, genetic algorithm, parameters optimization
