摘要
手写体汉字的计算机自动识别是一个高难度的模式识别问题 ,用单一识别方法难以达到理想的识别率 .本文首先分析了汉字识别方法的基本特点以及字符集成识别技术中存在的问题 ,然后结合认知科学的研究成果 ,提出了手写体汉字层次集成识别的思想 .
Handwritten Chinese character recognition by machine is a challenging task in pattern recognition.It can′t obtain perfect recognition rate by any single method.In this paper,the peculiarity of method in Chinese character recognition and the problem unsolved in characters integrating recognition are analyzed,and the anthor presents a method of handwritten Chinese character integrating recognition with the investigating result of perceive science.
出处
《许昌师专学报》
2001年第5期66-68,共3页
Journal of Xuchang Teachers College(Social Science Edition)
基金
河南省自然科学基金资助项目 (编号 :0 0 40 6 170 0 )
