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

dc.contributor.authorSupachai Tangwongsanen_US
dc.contributor.authorBuntida Suvacharakultonen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-09-13T06:33:23Z
dc.date.available2018-09-13T06:33:23Z
dc.date.issued2009-12-01en_US
dc.description.abstractThis 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.citation6th International Conference on Information Technology and Applications, ICITA 2009. (2009), 103-108en_US
dc.identifier.other2-s2.0-77953997183en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/27453
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77953997183&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleA highly effective system for printed Thai character recognition by word prediction methoden_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77953997183&origin=inwarden_US

Files

Collections