Entropy based Skew correction of document images

被引：0
|
作者：
Arvind, K. R. [1 ]
Kumar, Jayant [1 ]
Ramakrishnan, A. G. [1 ]
机构：
[1] Indian Inst Sci, MILE Lab, Bangalore 560012, Karnataka, India
来源：
PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PROCEEDINGS | 2007年 / 4815卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The document images that are fed into an Optical Character Recognition system, might be skewed. This could be due to improper feeding of the document into the scanner or may be due to a faulty scanner. In this paper, we propose a skew detection and correction method for document images. We make use of the inherent randomness in the Horizontal Projection profiles of a text block image, as the skew of the image varies. The proposed algorithm has proved to be very robust and time efficient. The entire process takes less than a second on a 2.4 GHz Pentium IV PC.
引用
收藏
页码：495 / 502
页数：8
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