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16th International Conference on Pattern Recognition (ICPR'02) - Volume 1
Rejection Strategies and Confidence Measures for a k - NN Classifier in an OCR Task
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
ASCII Text
x 
 
Joaquim Arlandis, Juan C. Perez-Cortes, Javier Cano, "Rejection Strategies and Confidence Measures for a k - NN Classifier in an OCR Task," Pattern Recognition, International Conference on, vol. 1, pp. 10576, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2002.1044806,
author = {Joaquim Arlandis and Juan C. Perez-Cortes and Javier Cano},
title = {Rejection Strategies and Confidence Measures for a k - NN Classifier in an OCR Task},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2002},
issn = {1051-4651},
pages = {10576},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1044806},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Rejection Strategies and Confidence Measures for a k - NN Classifier in an OCR Task
SN - 1051-4651
SP
EP
A1 - Joaquim Arlandis,
A1 - Juan C. Perez-Cortes,
A1 - Javier Cano,
PY - 2002
KW - null
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
Joaquim Arlandis, University Politecnica de Valencia
Juan C. Perez-Cortes, University Politecnica de Valencia
Javier Cano, University Politecnica de Valencia
In Handwritten Character Recognition, the rejection of extraneous patterns, like image noise, strokes or corrections, can improve significantly the practical usefulness of a system. In this paper, a combination of two confidence measures defi ned for a k-nearest neighbors classifier is proposed. Experiments are presented comparing the performance of the same system with and without the new rejection rules.
Citation:
Joaquim Arlandis, Juan C. Perez-Cortes, Javier Cano, "Rejection Strategies and Confidence Measures for a k - NN Classifier in an OCR Task," icpr, vol. 1, pp.10576, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002
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