Document image recognition based on run feature

doi:10.3778/j.issn.1002-8331.2010.07.060

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (7): 194-196.DOI: 10.3778/j.issn.1002-8331.2010.07.060

• 图形、图像、模式识别 • Previous Articles Next Articles

Document image recognition based on run feature

PENG Tao，MA Hong，DAI Yuan-hong，MA Jie

Institute of Information Technology，PLA Information Engineering University，Zhengzhou 450002，China

Received:2008-09-10 Revised:2008-12-09 Online:2010-03-01 Published:2010-03-01
Contact: PENG Tao

基于游程特征的文本图像识别方法

彭涛，马宏，戴元红，马杰

解放军信息工程大学信息技术研究所，郑州 450002

通讯作者: 彭涛

Abstract

Abstract: This paper presents a method for document image recognition based on run feature.The image represented by run feature provides the description for image pattern recognition.Based on it，Neural Network learning architecture is employed to learn to recognize the instances of the object class.Experimental results show that the method achieves high recognition accuracy，and it is perfect for fault tolerant.

Key words: image recognition, run feature, gradient

摘要： 提出了一种基于游程特征的中英文本图像识别方法，用游程统计特征提供的图像信息作为图像模式识别的描述特征，在此基础上利用神经网络来训练分类器。实验结果表明，该方法的识别精度较高，具有一定的容错能力。

关键词: 图像识别, 游程特征, 倾斜度

CLC Number:

TP391

PENG Tao，MA Hong，DAI Yuan-hong，MA Jie. Document image recognition based on run feature[J]. Computer Engineering and Applications, 2010, 46(7): 194-196.

彭涛，马宏，戴元红，马杰. 基于游程特征的文本图像识别方法[J]. 计算机工程与应用, 2010, 46(7): 194-196.

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Document image recognition based on run feature

基于游程特征的文本图像识别方法

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