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

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

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 cont...

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Main Authors: Supachai Tangwongsan, Buntida Suvacharakulton
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
Subjects:
Computer Science
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/27453
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Institution: Mahidol University
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spelling th-mahidol.274532018-09-13T13:33:23Z A highly effective system for printed Thai character recognition by word prediction method Supachai Tangwongsan Buntida Suvacharakulton Mahidol University Computer Science 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. 2018-09-13T06:33:23Z 2018-09-13T06:33:23Z 2009-12-01 Conference Paper 6th International Conference on Information Technology and Applications, ICITA 2009. (2009), 103-108 2-s2.0-77953997183 https://repository.li.mahidol.ac.th/handle/123456789/27453 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77953997183&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Computer Science
spellingShingle Computer Science
Supachai Tangwongsan
Buntida Suvacharakulton
A highly effective system for printed Thai character recognition by word prediction method
description 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.
author2 Mahidol University
author_facet Mahidol University
Supachai Tangwongsan
Buntida Suvacharakulton
format Conference or Workshop Item
author Supachai Tangwongsan
Buntida Suvacharakulton
author_sort Supachai Tangwongsan
title A highly effective system for printed Thai character recognition by word prediction method
title_short A highly effective system for printed Thai character recognition by word prediction method
title_full A highly effective system for printed Thai character recognition by word prediction method
title_fullStr A highly effective system for printed Thai character recognition by word prediction method
title_full_unstemmed A highly effective system for printed Thai character recognition by word prediction method
title_sort highly effective system for printed thai character recognition by word prediction method
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/27453
_version_ 1763493892697620480

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