Optical character recognition for Sinhala language

Rimas, M; Thilakumara, R. P; Koswatta, P

Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2335

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DC Field	Value	Language
dc.contributor.author	Rimas, M	-
dc.contributor.author	Thilakumara, R. P	-
dc.contributor.author	Koswatta, P	-
dc.date.accessioned	2022-05-17T07:54:08Z	-
dc.date.available	2022-05-17T07:54:08Z	-
dc.date.issued	2013-08-23	-
dc.identifier.citation	M. 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.isbn	978-1-4799-1095-3	-
dc.identifier.uri	http://rda.sliit.lk/handle/123456789/2335	-
dc.description.abstract	A 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.language.iso	en	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartofseries	2013 IEEE Global Humanitarian Technology Conference: South Asia Satellite (GHTC-SAS);Pages 149-153	-
dc.subject	Optical character	en_US
dc.subject	Sinhala language	en_US
dc.subject	recognition	en_US
dc.title	Optical character recognition for Sinhala language	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1109/GHTC-SAS.2013.6629906	en_US
Appears in Collections:	Research Papers Research Papers - Department of Electrical and Electronic Engineering Research Papers - SLIIT Staff Publications

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