Large scale on-line handwritten Chinese character recognition using successor method based on stochastic regular grammar

被引：4

作者：

Kuroda, K ^{[1
]}

Harada, K ^{[1
]}

Hagiwara, H ^{[1
]}

机构：

[1] Keio Univ, Fac Sci & Technol, Dept Elect Engn, Kouhoku Ku, Yokohama, Kanagawa 2238522, Japan

来源：

PATTERN RECOGNITION | 1999年 / 32卷 / 08期

关键词：

on-line handwriting recognition; grammatical inference; stochastic regular grammar; successor method; successor attribute matrix; rough classification; subnetworks; Kohonen's self-organizing feature map;

D O I：

10.1016/S0031-3203(98)00161-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose an original method for the recognition of on-line handwritten Chinese characters using the successor method based on the stochastic regular grammar. We use Kohonen's self-organizing feature map for feature extraction to get optimal sets of prototypical waveforms of peaks from sample data automatically. The strings of symbols are converted into matrices using the stochastic successor method, and are analyzed by simple calculation between matrices. In order to symbolize and analyze input patterns efficiently and accurately in a large scale, we employ a hierarchical approach. Using unrestricted handwritten characters, we obtained 94.34% recognition rate for the test patterns. (C) 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All right reserved.

引用

页码：1307 / 1315

页数：9

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