A Comparative Study of Optical Character Recognition for Printed and Handwritten Tamil Text

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

Keywords

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  • EP ID EP391934
  • DOI 10.9790/9622-0708015660.
  • Views 91
  • Downloads 0

How To Cite

Persia A (2017). A Comparative Study of Optical Character Recognition for Printed and Handwritten Tamil Text. International Journal of engineering Research and Applications, 7(8), 56-60. https://europub.co.uk/articles/-A-391934