Publication: Optical character recognition for Sinhala language
Type:
Article
Date
2013-08-23
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
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.
Description
Keywords
Optical character, Sinhala language, recognition
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.