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基于语义的手写汉字识别模型
引用本文:白宇,徐庆新,刘斌.基于语义的手写汉字识别模型[J].计算机工程与应用,2005,41(7):76-78.
作者姓名:白宇  徐庆新  刘斌
作者单位:复旦大学计算机科学与工程系,上海,200433;复旦大学计算机科学与工程系,上海,200433;复旦大学计算机科学与工程系,上海,200433
摘    要:目前,已经有很多文献阐述了不同的手写汉字识别算法,但是绝大多数算法都是针对单个汉字进行识别的,所以对于比较容易混淆的字,它们的识别效果都不好。该文针对这个问题,在单个汉字识别的基础上,结合汉语字典,加入了对前后汉字的语义考虑,大大地提高了这些容易混淆的汉字的识别率。

关 键 词:语义  汉语字典  汉字识别
文章编号:1002-8331-(2005)07-0076-03

Semantic-based Handwritten Chinese Character Recognition Modal
Bai Yu,Xu Qingxin,Liu Bin.Semantic-based Handwritten Chinese Character Recognition Modal[J].Computer Engineering and Applications,2005,41(7):76-78.
Authors:Bai Yu  Xu Qingxin  Liu Bin
Abstract:There have been many different literals discussing algorithms for handwritten Chinese character recognition,but most algorithms aim at recognizing single Chinese character.Therefore,their recognition effects aren't good enough for those confusing characters.To solve this problem,this paper presents a new modal,which combines the Chinese dictionary with the single Chinese character recognition.The recognition rate for those confusing Chinese characters has been greatly improved with the new modal.
Keywords:semantic  Chinese Dictionary  Chinese character recognition
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