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 Brain and Cognitive Engineering

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 Sep 10 → 2001 Sep 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

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). [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

@inproceedings{e5871230691d416aa7f0a1c3bc72e19f,

title = "Experimental results on the construction of multiple classifiers recognizing handwritten numerals",

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.",

author = "Kang, {Hee Joong} and Lee, {Seong Whan}",

year = "2001",

doi = "10.1109/ICDAR.2001.953941",

language = "English",

series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",

publisher = "IEEE Computer Society",

pages = "1026--1030",

booktitle = "Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001",

note = "6th International Conference on Document Analysis and Recognition, ICDAR 2001 ; Conference date: 10-09-2001 Through 13-09-2001",

}

TY - GEN

T1 - Experimental results on the construction of multiple classifiers recognizing handwritten numerals

AU - Kang, Hee Joong

AU - Lee, Seong Whan

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=27144508779&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=27144508779&partnerID=8YFLogxK

U2 - 10.1109/ICDAR.2001.953941

DO - 10.1109/ICDAR.2001.953941

M3 - Conference contribution

AN - SCOPUS:27144508779

T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

SP - 1026

EP - 1030

BT - Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001

PB - IEEE Computer Society

T2 - 6th International Conference on Document Analysis and Recognition, ICDAR 2001

Y2 - 10 September 2001 through 13 September 2001

ER -

Experimental results on the construction of multiple classifiers recognizing handwritten numerals

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this