Robust Character Recognition in FA

被引：0

作者：

Daito, Akihiro ^{[1
]}

Ito, Kazuhiko ^{[1
]}

Kawagoe, Tadashi ^{[1
]}

Murosaki, Takashi ^{[1
]}

Shiose, Masahiro ^{[1
]}

机构：

[1] DENSO Corp, Machinery & Tools Dept, Aichi 4702298, Japan

来源：

2012 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE) | 2012年

关键词：

character recognition; Image Processing; Template matching; SVM;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In FA, the character with a crack or dirt cannot be recognized by pattern matching. Then, we have studied a robust character recognition with template matching and SVM (Support Vector Machine). After classifying some similar characters by template matching, one character is determined by SVM (Support Vector Machine) that is a set of related supervised learning methods. As a result, we achieved the detection margin and adjustment Time shortening.

引用

页码：746 / 751

页数：6

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