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Digital Image Computing: Techniques and Applications (DICTA'05)
A Front-End OCR for Omni-Font Persian/Arabic Cursive Printed Documents
Cairns, Australia
December 06-December 08
ISBN: 0-7695-2467-2
ASCII Text
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Ramin Mehran, Hamed Pirsiavash, Farbod Razzazi, "A Front-End OCR for Omni-Font Persian/Arabic Cursive Printed Documents," Digital Image Computing: Techniques and Applications, pp. 56, Digital Image Computing: Techniques and Applications (DICTA'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/DICTA.2005.3,
author = {Ramin Mehran and Hamed Pirsiavash and Farbod Razzazi},
title = {A Front-End OCR for Omni-Font Persian/Arabic Cursive Printed Documents},
journal ={Digital Image Computing: Techniques and Applications},
volume = {0},
year = {2005},
isbn = {0-7695-2467-2},
pages = {56},
doi = {http://doi.ieeecomputersociety.org/10.1109/DICTA.2005.3},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Digital Image Computing: Techniques and Applications
TI - A Front-End OCR for Omni-Font Persian/Arabic Cursive Printed Documents
SN - 0-7695-2467-2
SP
EP
A1 - Ramin Mehran,
A1 - Hamed Pirsiavash,
A1 - Farbod Razzazi,
PY - 2005
KW - null
VL - 0
JA - Digital Image Computing: Techniques and Applications
ER -
 
Ramin Mehran, K.N.Toosi University of Technology and Paya Soft Co.
Hamed Pirsiavash, Sharif University of Technology and Paya Soft Co.
Farbod Razzazi, Paya Soft Co.

Compared to non-cursive scripts, optical character recognition of cursive documents comprises extra challenges in layout analysis as well as recognition of the printed scripts.

This paper presents a front-end OCR for Persian/Arabic cursive documents, which utilizes an adaptive layout analysis system in addition to a combined MLP-SVM recognition process. The implementation results on a comprehensive database show a high degree of accuracy which meets the requirements of commercial use.

Citation:
Ramin Mehran, Hamed Pirsiavash, Farbod Razzazi, "A Front-End OCR for Omni-Font Persian/Arabic Cursive Printed Documents," dicta, pp.56, Digital Image Computing: Techniques and Applications (DICTA'05), 2005
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