Architecture and Implementation of the Printed English  Documentation Recognition System

YIN Fang; WANG Wei-bing; CHEN De-yun

Chinese

您当前的位置：

首页 >

文章列表页 >

Architecture and Implementation of the Printed English Documentation Recognition System

更新时间：2026-07-10

- Architecture and Implementation of the Printed English Documentation Recognition System
- Vol. 13, Issue 6, Pages: 9-12(2008)
- 作者机构：
  
  [1]哈尔滨理工大学计算机科学与技术学院,黑龙江,哈尔滨,150080
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2008
- 稿件说明：
移动端阅览
YIN Fang, WANG Wei-bing, CHEN De-yun. Architecture and Implementation of the Printed English Documentation Recognition System[J]. 2008, 13(6): 9-12.
DOI：

YIN Fang, WANG Wei-bing, CHEN De-yun. Architecture and Implementation of the Printed English Documentation Recognition System[J]. 2008, 13(6): 9-12. DOI：

摘要

光学字符识别是模式识别领域的一个重要分支．提出并实现了一种用于印刷体英文文档的OCR系统．该系统使用基于字符识别的方法进行文档识别，图像经过预处理后，提取多种特征进行组合，并且考虑到字符粘连的情况，在训练样本中加入部分易粘连字母组合进行识别．通过实验证明，该识别系统快速、稳定且有效．

Abstract

Optical character recognition（OCR） is an important branch of pattern recognition. This paper puts forward and achieves an OCR system to recognize printed English documentation. It uses a method to identify documents based on the use of character recognition method. After preprocess

a variety of features is extracted to combine and recognize. Considering character sticking

some multi - character training samples are added into the training sample set. Experiment result shows that the system is fast

stable and effective.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on Insulator Defect Recognition in Substations

Online Courseresource Recommendation MethodFusing Multi-modal Features

Hölder Continuity of Solutions for a Class of Elliptic Equations

The Effect of Temperature on the Impact Performance of the Down Blade in Rapid Rescue Scissor

Collaborative Navigation and Observability Analysis of Cluster UAVs Based on Magnetometer Fusion

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰