Publication: A highly effective system for printed Thai character recognition by word prediction method
dc.contributor.author | Supachai Tangwongsan | en_US |
dc.contributor.author | Buntida Suvacharakulton | en_US |
dc.contributor.other | Mahidol University | en_US |
dc.date.accessioned | 2018-09-13T06:33:23Z | |
dc.date.available | 2018-09-13T06:33:23Z | |
dc.date.issued | 2009-12-01 | en_US |
dc.description.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. | en_US |
dc.identifier.citation | 6th International Conference on Information Technology and Applications, ICITA 2009. (2009), 103-108 | en_US |
dc.identifier.other | 2-s2.0-77953997183 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/27453 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77953997183&origin=inward | en_US |
dc.subject | Computer Science | en_US |
dc.title | A highly effective system for printed Thai character recognition by word prediction method | en_US |
dc.type | Conference Paper | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77953997183&origin=inward | en_US |