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Generalized Hough Transform for Arabic Optical Character Recognition
Edinburgh, Scotland August 03-August 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227856Seventh International Conference on D ...
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Sofien Touj, Najoua Essoukri Ben Amara, Hamid Amiri, "Generalized Hough Transform for Arabic Optical Character Recognition," Document Analysis and Recognition, International Conference on, vol. 2, pp. 1242, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003.
 
 
BibTex
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@article{ 10.1109/ICDAR.2003.1227856,
author = {Sofien Touj and Najoua Essoukri Ben Amara and Hamid Amiri},
title = {Generalized Hough Transform for Arabic Optical Character Recognition},
journal ={Document Analysis and Recognition, International Conference on},
volume = {2},
year = {2003},
isbn = {0-7695-1960-1},
pages = {1242},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227856},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - Generalized Hough Transform for Arabic Optical Character Recognition
SN - 0-7695-1960-1
SP
EP
A1 - Sofien Touj,
A1 - Najoua Essoukri Ben Amara,
A1 - Hamid Amiri,
PY - 2003
KW - null
VL - 2
JA - Document Analysis and Recognition, International Conference on
ER -
 
Sofien Touj, Ecole Nationale d?Ing?nieurs de Tunis
Najoua Essoukri Ben Amara, Ecole Nationale d?Ing?nieurs de Monastir
Hamid Amiri, Ecole Nationale d?Ing?nieurs de Tunis
The Generalized Hough Transform is a technique used to detect arbitrary objects in a given image. This technique is known for its capacity of absorption of distortions as well as noises. In the present paper, we describe an approach showing the efficiency of the use of the Generalized Hough Transform to recognize Arabic printed characters in their different shapes.
Citation:
Sofien Touj, Najoua Essoukri Ben Amara, Hamid Amiri, "Generalized Hough Transform for Arabic Optical Character Recognition," icdar, vol. 2, pp.1242, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003
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