[1]王建平 陈军 徐晓冰 王熹徽.基于SVM的脱机手写汉字机器学习识别方法研究[J].计算机技术与发展,2006,(10):104-107.
　WANG Jian-ping,CHEN Jun,XU Xiao-bing,et al.Research on Method of Off- Line Handwritten Chinese Characters Recognition Based on SVM[J].,2006,(10):104-107.
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基于SVM的脱机手写汉字机器学习识别方法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2006年10期
页码:
104-107
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Research on Method of Off- Line Handwritten Chinese Characters Recognition Based on SVM
文章编号:
1673-629X（2006）10-0104-04
作者:
王建平 陈军 徐晓冰 王熹徽
合肥工业大学电气与自动化工程学院
Author(s):
WANG Jian-ping;  CHEN Jun;  XU Xiao-bing;  WANG Xi-hui
School of Electric Engineering and Automation, Hefei University of Technology
关键词:
支持向量机; 脱机手写汉字体汉字; 模糊统计特征; 汉字识别
Keywords:
SVM ; off- line handwritten Chinese characters;  fuzzy statistic feature; Chinese characters recognition
分类号:
TP182
文献标志码:
A
摘要:
提出了一种模糊统计方法的脱机手写体汉字特征提取方法．结合小波网格方法和汉字笔画密度特征方法对汉字进行特征提取，并运用支持向量机方法，通过机器学习对脱机手写汉字识别。仿真实验表明，支持向量机方法在脱机手写汉字识别中有良好的识别性能及模糊统计方法是有效的
Abstract:
In this paper, a new feature extraction method based on fuzzy statistic feature was proposed. SUM,The theory of small - sample statistical learning proposed by Vapnik,was used for offline handwritten Chinese characters recognition. The feature date was extracted by three methods they are the density of Chinese characters stokes, wavelet transform and elastic meshing, and fuzzy statistic feature. The result of recognition shows that the SUM method can be used practically in off - line handwritten Chinese characters recognition and the new feature extraction method is effective and scientific

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备注/Memo

备注/Memo:
王建平（1955-），男，河北藁城人，教授，研究方向为智能控制技术、数字图像处理与识别
更新日期/Last Update: 1900-01-01