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Robust detection of skew in document images

DSpace at IIT Bombay

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Field Value
 
Title Robust detection of skew in document images
 
Creator CHAUDHURI, SUBHASIS
CHAUDHURI, AVANINDRA
 
Subject monte carlo methods
optical correlation
algorithms
linguistics
 
Description We describe a robust yet fast algorithm for skew detection in binary document images. The method is based on interline cross-correlation in the scanned image. Instead of finding the correlation for the entire image, it is calculated over small regions selected randomly. The proposed method does not require prior segmentation of the document into text and graphics regions. The maximum median of cross-correlation is used as the criterion to obtain the skew, and a Monte Carlo sampling technique is chosen to determine the number of regions over which the correlations have to be calculated. Experimental results on detecting skews in various types of documents containing different linguistic scripts are presented here.
 
Publisher IEEE
 
Date 2008-11-21T10:38:00Z
2011-11-25T12:48:49Z
2011-12-26T13:07:55Z
2011-12-27T05:55:57Z
2008-11-21T10:38:00Z
2011-11-25T12:48:49Z
2011-12-26T13:07:55Z
2011-12-27T05:55:57Z
1997
 
Type Article
 
Identifier IEEE Transactions on Image Processing 6(2), 344-49
1057-7149
http://dx.doi.org/10.1109/83.551708
http://hdl.handle.net/10054/92
http://dspace.library.iitb.ac.in/xmlui/handle/10054/92
 
Language en_US