Result Details

Handwritten Digits Recognition Improved by Multiresolution Classifier Fusion

ŠTRBA, M.; HEROUT, A.; HAVEL, J. Handwritten Digits Recognition Improved by Multiresolution Classifier Fusion. Proceedings of IbPRIA 2011, LNCS. Berlin: Springer Verlag, 2011. p. 726-733. ISBN: 978-3-642-21256-7.
Type
conference paper
Language
English
Authors
Štrba Miroslav, Ing.
Herout Adam, prof. Ing., Ph.D., DIFS (FIT), DCGM (FIT)
Havel Jiří, Ing., Ph.D., DIFS (FIT), DCGM (FIT)
Abstract

One common approach to construction of highly accurate classifiers for hadwritten digit recognition is fusion of several weaker classifiers into a compound one, which (when meeting some constraints) outperforms all the individual fused classifiers.  This paper studies the possibility of fusing classifiers of different kinds (Self-Organizing Maps, Randomized Trees, and AdaBoost with MB-LBP weak hypotheses) constructed on training sets resampled to different resolutions.  While it is common to select one resolution of the input samples as the ``ideal one'' and fuse classifiers constructed for it, this paper shows that the accuracy of classification can be improved by fusing information from several scales.

Keywords

Digit Recognition, Classifier Fusion, Multiresolution

Published
2011
Pages
726–733
Proceedings
Proceedings of IbPRIA 2011, LNCS
Conference
Iberian Conference on Pattern Recognition and Image Analysis
ISBN
978-3-642-21256-7
Publisher
Springer Verlag
Place
Berlin
BibTeX
@inproceedings{BUT76284,
  author="Miroslav {Štrba} and Adam {Herout} and Jiří {Havel}",
  title="Handwritten Digits Recognition Improved by Multiresolution Classifier Fusion",
  booktitle="Proceedings of IbPRIA 2011, LNCS",
  year="2011",
  pages="726--733",
  publisher="Springer Verlag",
  address="Berlin",
  isbn="978-3-642-21256-7"
}
Projects
Recognition and presentation of multimedia data, BUT, Vnitřní projekty VUT, FIT-S-10-2, 2010, start: 2010-04-01, end: 2010-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Research groups
Departments
Back to top