Isolated character recognition by searching feature points

Masakazu Iwamura, Kazuya Negishi, Shinichiro Omachi, Hirotomo Aso

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

3 Citations (Scopus)

Abstract

Conventional segmentation technique cannot extract difficult characters such as an isolated character and a touching character. In this paper, we propose a novel character recognition method which executes segmentation and recognition simultaneously. This method enables us to extract and recognize such difficult characters. The effectiveness of the proposed method is confirmed by experiments.

Original languageEnglish
Title of host publicationProceedings of the Eighth International Conference on Document Analysis and Recognition
Pages1035-1039
Number of pages5
DOIs
Publication statusPublished - 2005
Event8th International Conference on Document Analysis and Recognition - Seoul, Korea, Republic of
Duration: 2005 Aug 312005 Sep 1

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
Period05/8/3105/9/1

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Iwamura, M., Negishi, K., Omachi, S., & Aso, H. (2005). Isolated character recognition by searching feature points. In Proceedings of the Eighth International Conference on Document Analysis and Recognition (pp. 1035-1039). [1575701] (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2005). https://doi.org/10.1109/ICDAR.2005.147