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Radon Transform and PCA based feature extraction to design an Assamese Character Recognition system

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5 Author(s)
Purnima Kumari Sharma ; Dept. of Electron. & Commun. Eng., Don Bosco Coll. of Eng. & Technol., Guwahati, India ; Mondira Deori ; Balbindar Kaur ; Chandralekha Dey
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Character Recognition is a process of understanding a human readable text document by machines. Today many researchers in the academia and industry are interested in this direction. This paper describes a novel method of Character Recognition. The main objective of this is to use the Radon Transform and Principal Component Analysis to obtain a set of invariant features, on basis of which a character will be recognized. The results found from the various experiments prove the effectiveness of the proposed method.

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Emerging Trends and Applications in Computer Science (NCETACS), 2012 3rd National Conference on

Date of Conference:

30-31 March 2012