Document Form and Character Recognition using SVM

被引：0

作者：

Park, Sang-Sung ^{[1
]}

Shin, Young-Geun ^{[1
]}

Jung, Won-Kyo ^{[1
]}

Ahn, Dong-Kyu ^{[2
]}

Jang, Dong-Sik ^{[1
]}

机构：

[1] Korea Univ, Div Informat Management Engn, 5 Ga Anam Dong, Seoul, South Korea

[2] Kyungmin Coll, Dept Internet Business, Uijongbu, South Korea

来源：

COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING, VOL 2: ADVANCES IN COMPUTATIONAL SCIENCE | 2009年 / 1148卷

关键词：

Pattern Recognition; OCR; SVM; Character Recognition;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Because of development of computer and information communication, EDT (Electronic Data Interchange) has been developing. There is OCR (Optical Character Recognition) of Pattern recognition technology for EDT. OCR contributed to changing many manual in the past into automation. But for the more perfect database of document, much manual is needed for excluding unnecessary recognition. To resolve this problem, we propose document form based character recognition method in this study. Proposed method is divided into document form recognition part and character recognition part. Especially, in character recognition, change character into binarization by using SVM algorithm and extract more correct feature value.

引用

页码：180 / +

页数：2