Publication:
A highly effective system for printed Thai character recognition by word prediction method

Issued Date

2009-12-01

Resource Type

Conference Paper

Other identifier(s)

2-s2.0-77953997183

Rights

Mahidol University

Rights Holder(s)

SCOPUS

Bibliographic Citation

6th International Conference on Information Technology and Applications, ICITA 2009. (2009), 103-108

Suggested Citation

Supachai Tangwongsan, Buntida Suvacharakulton A highly effective system for printed Thai character recognition by word prediction method. 6th International Conference on Information Technology and Applications, ICITA 2009. (2009), 103-108. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/27453

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Title

A highly effective system for printed Thai character recognition by word prediction method

Author(s)

Supachai Tangwongsan
 Buntida Suvacharakulton

Other Contributor(s)

Mahidol University

Abstract

This paper proposes a novel approach: word prediction and verification technique for enhancing the recognition performance for printed Thai characters. Instead of attempting to recognize individual characters, the system, named as OCR-WP, is a technique employed to identify whole words by using contextual analysis in order to predict those probable words and verify the right one by template matching. A series of experimental results shows that the OCR-WP could yield a better performance in terms of speed improvement, while still maintaining the quality of error-free accuracy. © ICITA 2009.

Keyword(s)

Computer Science

Availability

URI

https://repository.li.mahidol.ac.th/handle/20.500.14594/27453

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Scopus 2006-2010