loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Online Character Recognition Based on Elastic Matching and Quadratic Discrimination
Seoul, Korea
August 31-September 01
ISBN: 0-7695-2420-6
ASCII Text
x 
 
Hiroto Mitoma, Seiichi Uchida, Hiroaki Sakoe, "Online Character Recognition Based on Elastic Matching and Quadratic Discrimination," Document Analysis and Recognition, International Conference on, pp. 36-40, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/ICDAR.2005.178,
author = {Hiroto Mitoma and Seiichi Uchida and Hiroaki Sakoe},
title = {Online Character Recognition Based on Elastic Matching and Quadratic Discrimination},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {2005},
issn = {1520-5263},
pages = {36-40},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.178},
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 - Online Character Recognition Based on Elastic Matching and Quadratic Discrimination
SN - 1520-5263
SP36
EP40
A1 - Hiroto Mitoma,
A1 - Seiichi Uchida,
A1 - Hiroaki Sakoe,
PY - 2005
KW - null
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Hiroto Mitoma, Kyushu University, Japan
Seiichi Uchida, Kyushu University, Japan
Hiroaki Sakoe, Kyushu University, Japan
We try to link elastic matching with a statistical discrimination framework to overcome the ovefitting problem which often degrades the performance of elastic matchingbased online character recognizers. In the proposed technique, elastic matching is used just as an extractor of a feature vector representing the dzfference between input and reference patterns. Then quadratic discrimination is performed under the assumption that the feature vector is governed by a Gaussian distribution. The result of a recognition experiment on UNIPEN database (Train-ROlN07, l a ) showed that the proposed technique can attain a high recognition rate (97.95%) and outperforms a recent elastic matching-based recognizer.
Citation:
Hiroto Mitoma, Seiichi Uchida, Hiroaki Sakoe, "Online Character Recognition Based on Elastic Matching and Quadratic Discrimination," icdar, pp.36-40, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.