[1]李宏东,李宏升,顾伟康.应用专门知识引导的联机自然手写汉字识别[J].南京理工大学学报(自然科学版),2000,(02):147-151.
 LiHongdong LiHongsheng GuWeikang.A Knowledge Based Algorithm for Online Cursive Chinese Character Recognition[J].Journal of Nanjing University of Science and Technology,2000,(02):147-151.
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应用专门知识引导的联机自然手写汉字识别()
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2000年02期
页码:
147-151
栏目:
出版日期:
2000-04-30

文章信息/Info

Title:
A Knowledge Based Algorithm for Online Cursive Chinese Character Recognition
作者:
李宏东李宏升1顾伟康
浙江大学信息电子工程系, ¹ 浙江大学理学院, 杭州310027
Author(s):
LiHongdong LiHongsheng ① GuWeikang
Department of Information and Electronics, Zhejiang University,Hangzhou 310027)
关键词:
字问题 模式识别 建立模型 联机 手写汉字识别 知识基系统
Keywords:
sig nal processing pattern recognition model building handw rit ing Chinese character recognit ion know ledge-based system
分类号:
TP391.4
摘要:
研究一种识别联机自然手写汉字的方法 ,充分利用汉字知识 ,构造联机汉字的知识框架 ,在专门知识引导下识别自然手写汉字。汉字的多种静态构形规律和动态书写规律被用于联机汉字的知识表达和建模。输入汉字经过笔划元提取后 ,采用框架描述 ,与知识库中存储的汉字模型进行不精确匹配实现识别。对国标一级汉字进行了测试。在对书写次序、笔划数目、是否连笔等很少限制的情况下 ,能获得很高的识别率 ,证明该方法是行之有效的
Abstract:
This paper provides a knowledge guide online cursive Chinese character recogn-i t ion system, w here both static shape forming know ledg e and dynamic w rit ing are utilized. Every character is represented by a frame, w hich is used to store the various ty pes of know ledg e. After ex tracting of strokes, the input character is fed into an in-exact matcher to perform recognit ion. T ests on GB-80-2312 Chinese character set demonst rate the proposed algorithm to be a efficient and robust algorithm w ith high correct rate , and w ith few restrict on st roke numbers, w riting orders , and shape variat ions.

参考文献/References:

1 Tappert C C, Suen C Y. The state of ar t in on- line handw riting recog nition. IEEE Trans on- PAMI,1990, 12( 8) : 787~ 808
2 Wakahara T. On- line cursive kanji character recognition using stroke- based affine transformation. In Proc
of Int Conf Patt Recog96. Vienna Austria: IEEE Computer Society Press, 1996, C: 204~ 209
3 Lay S R. Online Chinese char acter recognitio n with effective candidate radical and candidate character selectio ns1 Pattern Recognition, 1996, 29( 10) : 1 647~ 1 659
4 Kim H . On- line reco gnition of handw ritting Chinese character recognition based on hidden markov models. Pattern Recognition, 1997, 30( 9) : 1 489~ 1 500
5 Hao H, Dai R W. Handw ritting Chinese char acter recog nitio n by meta synthetic approach1 Patter n Recog nit ion, 1997, 30( 8) : 1 321~ 1 328
6 Amin A. A knowledg e acquisition technique for recognizing hand- printed Chinese char acters. In:Proc of Int Conf Patt Recog. 96. Vienna Austria: IEEE Computer Society Press, 1996, 254~ 257
7 Lu H R. On syntactic-semantic descr iptions of patter n structures and their distance measure. Pr oc of IEEE Int Co nf on Sys Man and Cyber , Beijing : IAP Publisher, 1988. 498~ 501
8 路浩如, 杨源远. 手写体汉字的结构词义模型-----人类认知与机器识别1 见: 计算机智能接口与智能应用93 论文集.杭州: 知识出版社, 19931 63~ 67

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备注/Memo

备注/Memo:
李宏东 男 27 岁 讲师
更新日期/Last Update: 2013-03-25