Handwritten character recognition using monotonic and continuous two-dimensional warping

Seiichi Uchida, Hiroaki Sakoe

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

14 Citations (Scopus)

Abstract

In this paper, a handwritten character recognition experiment using a monotonic and continuous two-dimensional warping algorithm is reported. This warping algorithm is based on dynamic programming and searches for the optimal pixel-to-pixel mapping between given two images subject to two-dimensional monotonicity and continuity constraints. Experimental comparisons with rigid matching and local perturbation show the performance superiority of the monotonic and continuous warping in character recognition.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999
PublisherIEEE Computer Society
Pages503-506
Number of pages4
ISBN (Electronic)0769503187
DOIs
Publication statusPublished - 1999
Event5th International Conference on Document Analysis and Recognition, ICDAR 1999 - Bangalore, India
Duration: Sep 20 1999Sep 22 1999

Publication series

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

Other

Other5th International Conference on Document Analysis and Recognition, ICDAR 1999
Country/TerritoryIndia
CityBangalore
Period9/20/999/22/99

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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