Handwritten character recognition using elastic matching based on a class-dependent deformation model

Seiichi Uchida, Hiroaki Sakoe

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

10 被引用数 (Scopus)

抄録

For handwritten character recognition, a new elastic image matching (EM) technique based on a class-dependent deformation model is proposed. In the deformation model, any deformation of a class is described by a linear combination of eigen-deformations, which are intrinsic deformation directions of the class. The eigen-deformations can be estimated statistically from the actual deformations of handwritten characters. Experimental results show that the proposed technique can attain higher recognition rates than conventional EM techniques based on class-independent deformation models. The results also show the superiority of the proposed technique over those conventional EM techniques in computational efficiency.

本文言語英語
ホスト出版物のタイトルProceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003
出版社IEEE Computer Society
ページ163-167
ページ数5
ISBN(電子版)0769519601
DOI
出版ステータス出版済み - 2003
イベント7th International Conference on Document Analysis and Recognition, ICDAR 2003 - Edinburgh, 英国
継続期間: 8月 3 20038月 6 2003

出版物シリーズ

名前Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
2003-January
ISSN(印刷版)1520-5363

その他

その他7th International Conference on Document Analysis and Recognition, ICDAR 2003
国/地域英国
CityEdinburgh
Period8/3/038/6/03

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識

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