摘要
模糊不清汉字的辨认在文本处理中是一个尚未完全解决的难题,该文提出了一种基于语义分析和Hopfield网络相结合的算法,在一定程度上可以解决印刷字体中较为模糊不清汉字的识别问题。实验结果表明,该方法的识别正确率较高。
The recognition of blurry Chinese words is a difficult problem, which should be settled in the processing of Chinese words. An algorithm based on semantic analysis and Hopfield network is presented. This method can solve the problem of recognition of blurry printed Chinese words in a degree. Experiment results show that this new method has better accuracy rate.
出处
《计算机工程》
CAS
CSCD
北大核心
2004年第22期140-141,189,共3页
Computer Engineering
基金
湖南省自然科学基金资助项目(01JJY2061)
