A Study on the Application of Pattern Recognition in Handwritten Numerical Recognition

被引：0
|
作者：
Wang Fei [1 ]
Song Zhigang [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Econ, Wuhan 430074, Peoples R China
来源：
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INNOVATION & MANAGEMENT, VOLS I AND II | 2008年
关键词：
Handwritten Recognition; Support Vector Machine; Neural Network;
D O I：
暂无
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
This paper analyzes the problems of handwritten numerical recognition, and uses Sequential Minimal Optimization (SMO) to train and recognize the character data of handwritten numeral which are gathered from many different people. Handwritten recognition, which has become one of the important methods in information gathering and information transformation, has a promising feature in many fields in society. Compared with neural network, this paper finds that Support Vector Machine (SVM) has the better recognition rate.
引用
收藏
页码：3226 / 3231
页数：6
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