知识基联机自然手写汉字识别  

A Knowledge Based Agorithm for Online Cursive Chinese Character Recognition

作　　者：李宏东[1] 叶秀清[1] 顾伟康[1] 

机构地区：[1]浙江大学信息与通信工程研究所,浙江杭州310027

出　　处：《杭州电子工业学院学报》2000年第6期16-19,共4页Journal of Hangzhou Institute of Electronic Engineering

摘　　要：本文研究了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。汉字的多种构形规律和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约束满足的不精确匹配。对国际一级汉字进行测试 ,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 ,证明本文方法是有效的。This paper provides a knowledge guide algorithm for Online Cursive Hand-writing Chinese Character recognition.Many kinds of knowledge that from different standing points are taken into consideration,that include the dynamic writing knowledge and shape forming knowledge.Every character is represented by a framework,and the syntactic and semantic model information are stored in it.Then a inexact constraint satisfaction reasoning algorithm is used to match an input character to the models.Tests on a limit set of GB80-2312 Chinese Character Set demonstrate that the proposed algorithm achieves a high correct rate where with no restrict on the number of strokes,writing orders,and can adapts to large shape variations.

关 键 词：手写汉字识别 知识基 自然书写 

分 类 号：TP391.43[自动化与计算机技术—计算机应用技术]