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2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies
Classification of Handwritten Characters by their Symmetry Features
Trivandrum, Kerala, India
December 28-December 29
ISBN: 978-0-7695-3915-7
ASCII Text
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Sam Holland, Richard Neville, "Classification of Handwritten Characters by their Symmetry Features," Advances in Computing, Control, and Telecommunication Technologies, International Conference on, pp. 316-318, 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies, 2009.
 
 
BibTex
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@article{ 10.1109/ACT.2009.85,
author = {Sam Holland and Richard Neville},
title = {Classification of Handwritten Characters by their Symmetry Features},
journal ={Advances in Computing, Control, and Telecommunication Technologies, International Conference on},
volume = {0},
year = {2009},
isbn = {978-0-7695-3915-7},
pages = {316-318},
doi = {http://doi.ieeecomputersociety.org/10.1109/ACT.2009.85},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advances in Computing, Control, and Telecommunication Technologies, International Conference on
TI - Classification of Handwritten Characters by their Symmetry Features
SN - 978-0-7695-3915-7
SP316
EP318
A1 - Sam Holland,
A1 - Richard Neville,
PY - 2009
KW - symmetry
KW - neural
KW - networks
KW - handwritten
KW - character
KW - recognition
KW - probabilistic
VL - 0
JA - Advances in Computing, Control, and Telecommunication Technologies, International Conference on
ER -
 
We propose a technique to classify characters by two different forms of their symmetry features. The Generalized Symmetry Transform is applied to digits from the USPS data set. These features are then used to train Probabilistic Neural Networks and their performances are compared to the traditional method.
Index Terms:
symmetry, neural, networks, handwritten, character, recognition, probabilistic
Citation:
Sam Holland, Richard Neville, "Classification of Handwritten Characters by their Symmetry Features," act, pp.316-318, 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies, 2009
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