Experimental results on the construction of multiple classifiers recognizing handwritten numerals

Hee Joong Kang; Seong Whan Lee

doi:10.1109/ICDAR.2001.953941

Experimental results on the construction of multiple classifiers recognizing handwritten numerals

Hee Joong Kang, Seong Whan Lee

Department of Artificial Intelligence

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

Only a few studies have been conducted on how to select multiple classifiers from the pool of available classifiers for showing the good performance. The selection problem of classifiers on how to select or how many to select still remains an important issue. In this paper, provided that the number of selected classifiers is constrained in advance, a number of selection criteria are proposed and applied to the construction of multiple classifiers. All the sets of classifiers are examined by the selection criteria under the constraint of the number of selected classifiers, and then some of those sets are selected as the candidates of multiple classifier systems. The multiple classifier system candidates were evaluated by the experiments recognizing UCI handwritten numerals.

Original language	English
Title of host publication	Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001
Publisher	IEEE Computer Society
Pages	1026-1030
Number of pages	5
ISBN (Electronic)	0769512631, 0769512631, 0769512631
DOIs	https://doi.org/10.1109/ICDAR.2001.953941
Publication status	Published - 2001
Event	6th International Conference on Document Analysis and Recognition, ICDAR 2001 - Seattle, United States Duration: 2001 Sept 10 → 2001 Sept 13

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2001-January
ISSN (Print)	1520-5363

Other

Other	6th International Conference on Document Analysis and Recognition, ICDAR 2001
Country/Territory	United States
City	Seattle
Period	01/9/10 → 01/9/13

Bibliographical note

Publisher Copyright:
© 2001 IEEE.

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICDAR.2001.953941

Cite this

Kang, H. J., & Lee, S. W. (2001). Experimental results on the construction of multiple classifiers recognizing handwritten numerals. In Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001 (pp. 1026-1030). Article 953941 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2001-January). IEEE Computer Society. https://doi.org/10.1109/ICDAR.2001.953941

Experimental results on the construction of multiple classifiers recognizing handwritten numerals. / Kang, Hee Joong; Lee, Seong Whan.
Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001. IEEE Computer Society, 2001. p. 1026-1030 953941 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2001-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kang, HJ & Lee, SW 2001, Experimental results on the construction of multiple classifiers recognizing handwritten numerals. in Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001., 953941, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2001-January, IEEE Computer Society, pp. 1026-1030, 6th International Conference on Document Analysis and Recognition, ICDAR 2001, Seattle, United States, 01/9/10. https://doi.org/10.1109/ICDAR.2001.953941

Kang HJ, Lee SW. Experimental results on the construction of multiple classifiers recognizing handwritten numerals. In Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001. IEEE Computer Society. 2001. p. 1026-1030. 953941. (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). doi: 10.1109/ICDAR.2001.953941

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Experimental results on the construction of multiple classifiers recognizing handwritten numerals

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