Handwritten character recognition using piecewise linear two-dimensional warping

Mohammad Asad Ronee, Seiichi Uchida, Hiroaki Sakoe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Citations (Scopus)

Abstract

In this paper, the effectiveness of piecewise linear two-dimensional warping, a dynamic programming-based elastic image matching technique, in handwritten character recognition is investigated. The present technique is capable of providing compensation for most variations in character patterns with tractable computation. The superiority of the present technique over several conventional two-dimensional warping techniques in variation compensating is experimentally justified. Another comparison with mono-tonic and continuous two-dimensional warping, a more flexible matching technique, reveals that the present method takes far less computation than the latter, yet provides almost the same recognition accuracy for most categories.

Original languageEnglish
Title of host publicationProceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001
PublisherIEEE Computer Society
Pages39-43
Number of pages5
ISBN (Electronic)0769512631, 0769512631, 0769512631
DOIs
Publication statusPublished - Jan 1 2001
Event6th International Conference on Document Analysis and Recognition, ICDAR 2001 - Seattle, United States
Duration: Sep 10 2001Sep 13 2001

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume2001-January
ISSN (Print)1520-5363

Other

Other6th International Conference on Document Analysis and Recognition, ICDAR 2001
CountryUnited States
CitySeattle
Period9/10/019/13/01

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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  • Cite this

    Ronee, M. A., Uchida, S., & Sakoe, H. (2001). Handwritten character recognition using piecewise linear two-dimensional warping. In Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001 (pp. 39-43). [953751] (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2001-January). IEEE Computer Society. https://doi.org/10.1109/ICDAR.2001.953751