DocumentCode :
3727183
Title :
Developing a commercial grade Tamil OCR for recognizing font and size independent text
Author :
Chamila Liyanage;Thilini Nadungodage;Ruvan Weerasinghe
Author_Institution :
Language Technology Research Laboratory, University of Colombo School of Computing, 00700, Sri Lanka
fYear :
2015
Firstpage :
130
Lastpage :
134
Abstract :
Optical Character Recognition (OCR) of Indic scripts such as Tamil and Sinhala has lagged behind those for languages based on the Latin script. Several attempts to build commercial grade OCR for these languages have failed in the past owing to them not generalizing well. This paper describes a set of training regimes for Tamil using the Tesseract engine that have enabled us to develop a robust Tamil OCR system. We describe in detail our training regime, which results in a performance improvement of 12.5% over the default Tamil module shipped with Tesseract on a set of ancient Tamil documents, which were part of an authentic project to digitize important Tamil manuscripts of Sri Lanka.
Keywords :
"Optical character recognition software","Character recognition","Integrated optics","Optical imaging","Radio frequency","Yttrium","Image recognition"
Publisher :
ieee
Conference_Titel :
Advances in ICT for Emerging Regions (ICTer), 2015 Fifteenth International Conference on
Print_ISBN :
978-1-4673-9440-6
Type :
conf
DOI :
10.1109/ICTER.2015.7377678
Filename :
7377678
Link To Document :
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