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。
关键词:
汉字,
识别,
语义,
Hopfield网络
Abstract: 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.
中图分类号:
谭旭,乐晓波,朱亨荣,陈荣元. 基于语义和Hopfield网络的模糊汉字识别[J]. , 2004, 30(22): 140-.
TAN Xu, YUE Xiaobo, ZHU Hengrong, CHEN Rongyuan. Recognition of Blurry Chinese Words Based on Semantic and Hopfield Network[J]. , 2004, 30(22): 140-.