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https://rda.sliit.lk/handle/123456789/2335| Title: | Optical character recognition for Sinhala language |
| Authors: | Rimas, M Thilakumara, R. P Koswatta, P |
| Keywords: | Optical character Sinhala language recognition |
| Issue Date: | 23-Aug-2013 |
| Publisher: | IEEE |
| 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. |
| Series/Report no.: | 2013 IEEE Global Humanitarian Technology Conference: South Asia Satellite (GHTC-SAS);Pages 149-153 |
| 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. |
| URI: | http://rda.sliit.lk/handle/123456789/2335 |
| ISBN: | 978-1-4799-1095-3 |
| Appears in Collections: | Research Papers Research Papers - Department of Electrical and Electronic Engineering Research Papers - SLIIT Staff Publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Optical_character_recognition_for_Sinhala_language.pdf Until 2050-12-31 | 1.75 MB | Adobe PDF | View/Open Request a copy |
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