Publication:
Optical character recognition for Sinhala language

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dc.contributor.authorRimas, M
dc.contributor.authorThilakumara, R. P
dc.contributor.authorKoswatta, P
dc.date.accessioned2022-05-17T07:54:08Z
dc.date.available2022-05-17T07:54:08Z
dc.date.issued2013-08-23
dc.description.abstractA rotationally invariant optical character recognition system for Sinhala language is developed using Two Dimensional Fourier Transform and Artificial Neural Networks. Sinhala characters of different fonts and font sizes are recognized with over 85% recognition accuracy. Segmentation method based on histogram used in this system gives segmentation accuracy over 70% for complex Sinhala characters.en_US
dc.identifier.citationM. Rimas, R. P. Thilakumara and P. Koswatta, "Optical character recognition for Sinhala language," 2013 IEEE Global Humanitarian Technology Conference: South Asia Satellite (GHTC-SAS), 2013, pp. 149-153, doi: 10.1109/GHTC-SAS.2013.6629906.en_US
dc.identifier.doi10.1109/GHTC-SAS.2013.6629906en_US
dc.identifier.isbn978-1-4799-1095-3
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/2335
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2013 IEEE Global Humanitarian Technology Conference: South Asia Satellite (GHTC-SAS);Pages 149-153
dc.subjectOptical characteren_US
dc.subjectSinhala languageen_US
dc.subjectrecognitionen_US
dc.titleOptical character recognition for Sinhala languageen_US
dc.typeArticleen_US
dspace.entity.typePublication

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