Nonuniform slant correction using dynamic programming

Seiichi Uchida, Eiji Taira, Hiroaki Sakoe

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

21 被引用数 (Scopus)

抄録

Slant correction is an indispensable technique for handwritten word recognition systems. Conventional slant correction techniques estimate the average slant angle of component characters and then correct the slant uniformly. Thus these conventional techniques will perform successfully under the assumption that each word is written with a constant slant. However, it is more widely acceptable assumption that the slant angle fluctuates during writing a word. In this paper, a nonuniform slant correction technique is presented where the slant correction problem is formulated as an optimal estimaiton problem of local slant angles at all horizontal positions. The optimal estimation is governed by a criterion function and several constraints for the global and local validity of the local angles. The optimal local slant angles which maximize the criterion satisfying the constraints are searched for efficiently by a dynamic programming based algrithm. Experimental results show the advantageous characteristics of the present technique over the uniform slant correction techniques.

本文言語英語
ホスト出版物のタイトルProceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001
出版社IEEE Computer Society
ページ434-438
ページ数5
ISBN(電子版)0769512631, 0769512631, 0769512631
DOI
出版ステータス出版済み - 1 1 2001
イベント6th International Conference on Document Analysis and Recognition, ICDAR 2001 - Seattle, 米国
継続期間: 9 10 20019 13 2001

出版物シリーズ

名前Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
2001-January
ISSN(印刷版)1520-5363

その他

その他6th International Conference on Document Analysis and Recognition, ICDAR 2001
Country米国
CitySeattle
Period9/10/019/13/01

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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