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Fourth International Conference Document Analysis and Recognition (ICDAR'97)
An Object/Segment Oriented Skew-Correction Technique for Document Images
Ulm, GERMANY
August 18-August 20
ISBN: 0-8186-7898-4
ASCII Text
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Majdi Ben Hadj Ali, "An Object/Segment Oriented Skew-Correction Technique for Document Images," Document Analysis and Recognition, International Conference on, pp. 671, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997.
 
 
BibTex
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@article{ 10.1109/ICDAR.1997.620591,
author = {Majdi Ben Hadj Ali},
title = {An Object/Segment Oriented Skew-Correction Technique for Document Images},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {1997},
isbn = {0-8186-7898-4},
pages = {671},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.620591},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - An Object/Segment Oriented Skew-Correction Technique for Document Images
SN - 0-8186-7898-4
SP
EP
A1 - Majdi Ben Hadj Ali,
PY - 1997
KW - Skew detection
KW - Skew correction
KW - Connected components
KW - optical character recognition systems.
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Majdi Ben Hadj Ali, German Research Center for Artificial Intelligence
An innovative new skew correction technique is presented. The method is not pixel oriented as the most classical techniques, but is object/segment oriented. It does not suppose a unique text orientation in the document image and can handle document images including "text" blocks with different orientations. It is very efficient in the sense that only the relevant data/information is rotated: the connected components using their contour descriptions.
Index Terms:
Skew detection, Skew correction, Connected components, optical character recognition systems.
Citation:
Majdi Ben Hadj Ali, "An Object/Segment Oriented Skew-Correction Technique for Document Images," icdar, pp.671, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997
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