A Comparative Study of Optical Character Recognition for Printed and Handwritten Tamil Text
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 8
Abstract
This paper compares the methodologies for recognizing printed Tamil text document with handwritten Tamil text. Each of the preprocessing phases uses various techniques. But both the techniques are used to extract the features of Tamil characters. In printed Tamil documents, the extracted features are passed to a Support Vector Machine (SVM) where the characters are classified by Supervised Learning Algorithm and then these are mapped onto Unicode for recognition. In the case of handwritten Tamil text, Support Vector Machine (SVM) is used for recognizing the characters. This paper analysis the performance of these two methods and presents a report based on the analysis.
Authors and Affiliations
Persia A
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- EP ID EP391934
- DOI 10.9790/9622-0708015660.
- Views 123
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