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International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)
Applying a Weighting Matrix to the Hierarchical Neural Network Model for Handwritten Thai Character Recognition
Sydney Australia
November 28-December 01
ISBN: 0-7695-2731-0
ASCII Text
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Arit Thammano, Patcharawadee Poolsamran, "Applying a Weighting Matrix to the Hierarchical Neural Network Model for Handwritten Thai Character Recognition," Computational Intelligence for Modelling, Control and Automation, International Conference on, pp. 85, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/CIMCA.2006.50,
author = {Arit Thammano and Patcharawadee Poolsamran},
title = {Applying a Weighting Matrix to the Hierarchical Neural Network Model for Handwritten Thai Character Recognition},
journal ={Computational Intelligence for Modelling, Control and Automation, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2731-0},
pages = {85},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.50},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computational Intelligence for Modelling, Control and Automation, International Conference on
TI - Applying a Weighting Matrix to the Hierarchical Neural Network Model for Handwritten Thai Character Recognition
SN - 0-7695-2731-0
SP
EP
A1 - Arit Thammano,
A1 - Patcharawadee Poolsamran,
PY - 2006
KW - null
VL - 0
JA - Computational Intelligence for Modelling, Control and Automation, International Conference on
ER -
 
Arit Thammano, King Mongkut's Institute of Technology Ladkrabang, Thailand
Patcharawadee Poolsamran, King Mongkut's Institute of Technology Ladkrabang, Thailand
This paper proposes a new neural network approach to the off-line handwritten Thai character recognition. This new neural network is a hierarchical neural network; it employs the concept of a weighting matrix in measuring the similarity between the incoming input pattern and the reference patterns. The experiments have been conducted to recognize both slipshod and proper handwritten characters. The results demonstrate a very promising performance of the proposed approach.
Citation:
Arit Thammano, Patcharawadee Poolsamran, "Applying a Weighting Matrix to the Hierarchical Neural Network Model for Handwritten Thai Character Recognition," cimca, pp.85, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006
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