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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
An Evaluation of Ensemble Methods in Handwritten Word Recognition Based on Feature Selection
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
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Simon G?, Horst Bunke, "An Evaluation of Ensemble Methods in Handwritten Word Recognition Based on Feature Selection," Pattern Recognition, International Conference on, vol. 1, pp. 388-392, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004.
 
 
BibTex
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@article{ 10.1109/ICPR.2004.1334133,
author = {Simon G? and Horst Bunke},
title = {An Evaluation of Ensemble Methods in Handwritten Word Recognition Based on Feature Selection},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2004},
issn = {1051-4651},
pages = {388-392},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334133},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - An Evaluation of Ensemble Methods in Handwritten Word Recognition Based on Feature Selection
SN - 1051-4651
SP388
EP392
A1 - Simon G?,
A1 - Horst Bunke,
PY - 2004
KW - handwritten word recognition
KW - classifier ensemble methods
KW - feature selection
KW - hidden Markov model (HMM)
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
Simon G?, University of Bern, Switzerland
Horst Bunke, University of Bern, Switzerland
Handwritten text recognition is one of the most difficult problems in the field of pattern recognition. The combination of multiple classifiers has been proven to be able to increase the recognition rate in difficult problems when compared to single classifiers. In this paper several novel methods for the creation of classifier ensembles are compared where the individual classifiers use different feature subsets. The methods are evaluated in the context of handwritten word recognition, using a hidden Markov model recognizer as basic classifier.
Index Terms:
handwritten word recognition, classifier ensemble methods, feature selection, hidden Markov model (HMM)
Citation:
Simon G?, Horst Bunke, "An Evaluation of Ensemble Methods in Handwritten Word Recognition Based on Feature Selection," icpr, vol. 1, pp.388-392, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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