Prototype setting for elastic matching-based image pattern recognition

Author

Matsumoto, Naoki ; Uchida, Seiichi ; Sakoe, Hiroaki

Author_Institution

Dept. of Intelligent Syst., Kyushu Univ., Fukuoka, Japan

Volume

1

fYear

2004

fDate

23-26 Aug. 2004

Firstpage

224

Abstract

The purpose of this paper is to emphasize the importance of the consistency between the distance measures on prototype setting and discrimination in elastic matching (EM)-based recognition. Specifically, this paper focuses on the following points: (i) confirmation of performance degradation when Euclidean distance is used on prototype setting whereas EM-distance is used on discrimination, and (ii) proposal of new prototype setting algorithm where this inconsistency is avoided. Through an experiment of handwritten character recognition, the effectiveness of the proposed algorithm was quantified.

Keywords

handwritten character recognition; image matching; optimisation; pattern clustering; Euclidean distance; elastic matching; handwritten character recognition; image pattern recognition; pattern clustering; performance degradation; prototype setting algorithm; Character recognition; Clustering algorithms; Degradation; Euclidean distance; Intelligent systems; Partitioning algorithms; Pattern matching; Pattern recognition; Prototypes; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-2128-2

Type

conf

DOI

10.1109/ICPR.2004.1334064

Filename

1334064