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5th International Conference on Intelligent Systems Design and Applications (ISDA'05)
A Novel Fuzzy Approach to Recognition of Online Persian Handwriting
Wroclaw, Poland
September 08-September 10
ISBN: 0-7695-2286-6
ASCII Text
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M. Soleymani Baghshah, S. Bagheri Shouraki, S. Kasaei, "A Novel Fuzzy Approach to Recognition of Online Persian Handwriting," Intelligent Systems Design and Applications, International Conference on, pp. 268-273, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05), 2005.
 
 
BibTex
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@article{ 10.1109/ISDA.2005.13,
author = {M. Soleymani Baghshah and S. Bagheri Shouraki and S. Kasaei},
title = {A Novel Fuzzy Approach to Recognition of Online Persian Handwriting},
journal ={Intelligent Systems Design and Applications, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2286-6},
pages = {268-273},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2005.13},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Systems Design and Applications, International Conference on
TI - A Novel Fuzzy Approach to Recognition of Online Persian Handwriting
SN - 0-7695-2286-6
SP268
EP273
A1 - M. Soleymani Baghshah,
A1 - S. Bagheri Shouraki,
A1 - S. Kasaei,
PY - 2005
KW - null
VL - 0
JA - Intelligent Systems Design and Applications, International Conference on
ER -
 
M. Soleymani Baghshah, MS Student of Sharif University of Technology of Iran
S. Bagheri Shouraki, University of Technology of Iran
S. Kasaei, University of Technology of Iran
Fuzzy logic has proved to be a powerful tool to represent imprecise and irregular patterns. This paper presents a novel fuzzy approach for recognizing online Persian (Farsi) handwriting which is also useful for multi-writer environments. In this approach, the representation of handwriting parameters is accomplished by fuzzy linguistic modeling. The representative features are selected to describe the shape of tokens. Fuzzy linguistic terms provide robustness against handwriting variations. The purposed method was run on a database of Persian isolated handwritten characters and achieved a relatively high recognition rate.
Citation:
M. Soleymani Baghshah, S. Bagheri Shouraki, S. Kasaei, "A Novel Fuzzy Approach to Recognition of Online Persian Handwriting," isda, pp.268-273, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05), 2005
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