Online character recognition based on elastic matching and quadratic discrimination

Hiroto Mitoma, Seiichi Uchida, Hiroaki Sakoe

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

10 Citations (Scopus)

Abstract

We try to link elastic matching with a statistical discrimination framework to overcome the overfilling problem which often degrades the performance of elastic matching-based online character recognizers. In the proposed technique, elastic matching is used just as an extractor of a feature vector representing the difference between input and reference patterns. Then quadratic discrimination is performed under the assumption that the feature vector is governed by a Gaussian distribution. The result of a recognition experiment on UNIPEN database (Train-R01/V07, 1a) showed that the proposed technique can attain a high recognition rate (97.95%) and outperforms a recent elastic matching-based recognizer.

Original languageEnglish
Title of host publicationProceedings of the Eighth International Conference on Document Analysis and Recognition
Pages36-40
Number of pages5
DOIs
Publication statusPublished - Dec 1 2005
Event8th International Conference on Document Analysis and Recognition - Seoul, Korea, Republic of
Duration: Aug 31 2005Sep 1 2005

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume2005
ISSN (Print)1520-5363

Other

Other8th International Conference on Document Analysis and Recognition
CountryKorea, Republic of
CitySeoul
Period8/31/059/1/05

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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