Predictive DP matching for on-line character recognition

Daiki Baba, Seiichi Uchida, Hiroaki Sakoe

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

1 Citation (Scopus)

Abstract

For on-line character recognition, predictive DP matching is proposed where two physically different features, coordinate features and directional features, are handled in a unified manner. For this unification, the distance of the directional features is converted into a distance of the coordinate features by a feature prediction technique. An experimental result showed that the predictive DP matching could attain a recognition rate comparable to the rate by the conventional DP matching which requires the costly optimization of the weight to balance the two features.

Original languageEnglish
Title of host publicationProceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007
Pages674-678
Number of pages5
DOIs
Publication statusPublished - Dec 1 2007
Event9th International Conference on Document Analysis and Recognition, ICDAR 2007 - Curitiba, Brazil
Duration: Sep 23 2007Sep 26 2007

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume2
ISSN (Print)1520-5363

Other

Other9th International Conference on Document Analysis and Recognition, ICDAR 2007
CountryBrazil
CityCuritiba
Period9/23/079/26/07

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All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Cite this

Baba, D., Uchida, S., & Sakoe, H. (2007). Predictive DP matching for on-line character recognition. In Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007 (pp. 674-678). [4377000] (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2). https://doi.org/10.1109/ICDAR.2007.4377000