Character spotting using image-based stochastic models

Seon Kyu Kim, Bong Kee Sin, Seong Whan Lee

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

1 Citation (Scopus)

Abstract

This paper concerns the modeling of character images by a Markov-like stochastic template that is constructed in the form of the pseudo 2D HMM. Being constructed directly from the image templates, the models can be composed in real time. Preliminary test results in digit recognition and Korean Hangul character spotting show the feasibility of the proposed method, especially in the context of incremental location of keywords.

Original languageEnglish
Title of host publicationProceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001
PublisherIEEE Computer Society
Pages60-63
Number of pages4
Volume2001-January
ISBN (Electronic)0769512631, 0769512631, 0769512631
DOIs
Publication statusPublished - 2001
Event6th International Conference on Document Analysis and Recognition, ICDAR 2001 - Seattle, United States
Duration: 2001 Sep 102001 Sep 13

Other

Other6th International Conference on Document Analysis and Recognition, ICDAR 2001
CountryUnited States
CitySeattle
Period01/9/1001/9/13

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Kim, S. K., Sin, B. K., & Lee, S. W. (2001). Character spotting using image-based stochastic models. In Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001 (Vol. 2001-January, pp. 60-63). [953755] IEEE Computer Society. https://doi.org/10.1109/ICDAR.2001.953755