Clustering with projection distance and pseudo bayes discriminant function for handwritten numeral recognition

Meng Shi; Wataru Ohyama; Tetsushi Wakabayashi; Fumitaka Kimura

doi:10.1109/ICDAR.2001.953937

Clustering with projection distance and pseudo bayes discriminant function for handwritten numeral recognition

Meng Shi, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura

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

1 Citation (Scopus)

Abstract

This paper investigates the usage of the projection distance and the pseudo Bayes discriminant function as the distortion measure for handwritten numeral clustering problem. These distortion measures are not only refer to the mean vectors but also related to the covariance matixes of subclasses, thus, the distribution of subclasses are reflected on the obtained clusters, and the accuracy of recognition can be improved. A series of evaluation experiments are performed on the handwritten numeral database NIST SD3 and SD7. The experimental results show that the recognition rate has been increased from 97.35% to 98.35%, which is one the highest rates ever reported for the database.

Original language	English
Title of host publication	Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001
Publisher	IEEE Computer Society
Pages	1007-1011
Number of pages	5
ISBN (Electronic)	0769512631, 0769512631, 0769512631
DOIs	https://doi.org/10.1109/ICDAR.2001.953937
Publication status	Published - 2001
Externally published	Yes
Event	6th International Conference on Document Analysis and Recognition, ICDAR 2001 - Seattle, United States Duration: Sept 10 2001 → Sept 13 2001

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	9/10/01 → 9/13/01

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICDAR.2001.953937

Cite this

Shi, M., Ohyama, W., Wakabayashi, T., & Kimura, F. (2001). Clustering with projection distance and pseudo bayes discriminant function for handwritten numeral recognition. In Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001 (pp. 1007-1011). Article 953937 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2001-January). IEEE Computer Society. https://doi.org/10.1109/ICDAR.2001.953937

Clustering with projection distance and pseudo bayes discriminant function for handwritten numeral recognition. / Shi, Meng; Ohyama, Wataru; Wakabayashi, Tetsushi et al.
Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001. IEEE Computer Society, 2001. p. 1007-1011 953937 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2001-January).

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

Shi, M, Ohyama, W, Wakabayashi, T & Kimura, F 2001, Clustering with projection distance and pseudo bayes discriminant function for handwritten numeral recognition. in Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001., 953937, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2001-January, IEEE Computer Society, pp. 1007-1011, 6th International Conference on Document Analysis and Recognition, ICDAR 2001, Seattle, United States, 9/10/01. https://doi.org/10.1109/ICDAR.2001.953937

Shi M, Ohyama W, Wakabayashi T, Kimura F. Clustering with projection distance and pseudo bayes discriminant function for handwritten numeral recognition. In Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001. IEEE Computer Society. 2001. p. 1007-1011. 953937. (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). doi: 10.1109/ICDAR.2001.953937

Shi, Meng ; Ohyama, Wataru ; Wakabayashi, Tetsushi et al. / Clustering with projection distance and pseudo bayes discriminant function for handwritten numeral recognition. Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001. IEEE Computer Society, 2001. pp. 1007-1011 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR).

@inproceedings{ec93a3b99b814e31ab81ac2966d78dc0,

title = "Clustering with projection distance and pseudo bayes discriminant function for handwritten numeral recognition",

abstract = "This paper investigates the usage of the projection distance and the pseudo Bayes discriminant function as the distortion measure for handwritten numeral clustering problem. These distortion measures are not only refer to the mean vectors but also related to the covariance matixes of subclasses, thus, the distribution of subclasses are reflected on the obtained clusters, and the accuracy of recognition can be improved. A series of evaluation experiments are performed on the handwritten numeral database NIST SD3 and SD7. The experimental results show that the recognition rate has been increased from 97.35% to 98.35%, which is one the highest rates ever reported for the database.",

author = "Meng Shi and Wataru Ohyama and Tetsushi Wakabayashi and Fumitaka Kimura",

note = "Publisher Copyright: {\textcopyright} 2001 IEEE.; 6th International Conference on Document Analysis and Recognition, ICDAR 2001 ; Conference date: 10-09-2001 Through 13-09-2001",

year = "2001",

doi = "10.1109/ICDAR.2001.953937",

language = "English",

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

publisher = "IEEE Computer Society",

pages = "1007--1011",

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

address = "United States",

}

TY - GEN

T1 - Clustering with projection distance and pseudo bayes discriminant function for handwritten numeral recognition

AU - Shi, Meng

AU - Ohyama, Wataru

AU - Wakabayashi, Tetsushi

AU - Kimura, Fumitaka

PY - 2001

Y1 - 2001

N2 - This paper investigates the usage of the projection distance and the pseudo Bayes discriminant function as the distortion measure for handwritten numeral clustering problem. These distortion measures are not only refer to the mean vectors but also related to the covariance matixes of subclasses, thus, the distribution of subclasses are reflected on the obtained clusters, and the accuracy of recognition can be improved. A series of evaluation experiments are performed on the handwritten numeral database NIST SD3 and SD7. The experimental results show that the recognition rate has been increased from 97.35% to 98.35%, which is one the highest rates ever reported for the database.

AB - This paper investigates the usage of the projection distance and the pseudo Bayes discriminant function as the distortion measure for handwritten numeral clustering problem. These distortion measures are not only refer to the mean vectors but also related to the covariance matixes of subclasses, thus, the distribution of subclasses are reflected on the obtained clusters, and the accuracy of recognition can be improved. A series of evaluation experiments are performed on the handwritten numeral database NIST SD3 and SD7. The experimental results show that the recognition rate has been increased from 97.35% to 98.35%, which is one the highest rates ever reported for the database.

UR - http://www.scopus.com/inward/record.url?scp=84951776235&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84951776235&partnerID=8YFLogxK

U2 - 10.1109/ICDAR.2001.953937

DO - 10.1109/ICDAR.2001.953937

M3 - Conference contribution

AN - SCOPUS:84951776235

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

SP - 1007

EP - 1011

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 -

Clustering with projection distance and pseudo bayes discriminant function for handwritten numeral recognition

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this