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Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2
Three decision levels strategy for Arabic and Latin texts differentiation in printed and handwritten natures
Curitiba, Parana, Brazil
September 23-September 26
ISBN: 0-7695-2822-8
ASCII Text
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Mohamed BEN JLAIEL, Slim KANOUN, Adel Mohamed ALIMI, R?my MULLOT, "Three decision levels strategy for Arabic and Latin texts differentiation in printed and handwritten natures," Document Analysis and Recognition, International Conference on, vol. 2, pp. 1103-1107, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007.
 
 
BibTex
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@article{ 10.1109/ICDAR.2007.250,
author = {Mohamed BEN JLAIEL and Slim KANOUN and Adel Mohamed ALIMI and R?my MULLOT},
title = {Three decision levels strategy for Arabic and Latin texts differentiation in printed and handwritten natures},
journal ={Document Analysis and Recognition, International Conference on},
volume = {2},
year = {2007},
issn = {1520-5363},
pages = {1103-1107},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.250},
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 - Three decision levels strategy for Arabic and Latin texts differentiation in printed and handwritten natures
SN - 1520-5363
SP1103
EP1107
A1 - Mohamed BEN JLAIEL,
A1 - Slim KANOUN,
A1 - Adel Mohamed ALIMI,
A1 - R?my MULLOT,
PY - 2007
KW - null
VL - 2
JA - Document Analysis and Recognition, International Conference on
ER -
 
Mohamed BEN JLAIEL, University of Sfax
Slim KANOUN, University of Sfax
Adel Mohamed ALIMI, University of Sfax
R?my MULLOT, University of La Rochelle, France
Arabic and Latin script identification in printed and handwritten nature present several difficulties because the Arabic (printed or handwritten) and the handwritten Latin scripts are cursive scripts of nature. To avoid all possible confusions which can be generated, we propose in this paper a strategy which is based on three decision levels where each level will have its own features vector and will consist in identifying only one script among the scripts to identify.
Citation:
Mohamed BEN JLAIEL, Slim KANOUN, Adel Mohamed ALIMI, R?my MULLOT, "Three decision levels strategy for Arabic and Latin texts differentiation in printed and handwritten natures," icdar, vol. 2, pp.1103-1107, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007
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