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Historical Tamil Character Recognition based on Clustering

G. Prabhakaran*, R. Meera**

* Assistant Professor, Department of Computer Science and Engineering, E.G.S. Pillay Engineering College, Nagapattinam, India.

** PG Scholar, Department of Computer Science and Engineering, E.G.S. Pillay Engineering College, Nagapattinam, India.

Periodicity:December - February'2017
DOI : https://doi.org/10.26634/jit.6.1.13505

Abstract

A novel method using clustering algorithm is proposed to recognize the tamil characters in a given document. Many algorithms and processing techniques exist, which are used only for certain languages and hard specific file formats. This does not involve any pre-processing on the documents like contrast adjustments or filtering of noises on the image. Considering all these negativities, a novel method is proposed in this project, where the input can be of any file type which undergoes pre-processing like contrast adjustment before applying the procedure. Above all, this method is used to replace the historical Tamil words in the earlier Tamil documents to the words corresponding to them that are in use today.

Keywords

Image Processing (IP), Document Image Binarization Contest (DIBCO), Optical Character Recognition (OCR), Post-processing Step (PS), K-Nearest Neighbour (KNN)

How to Cite this Article?

G. Prabhakaran and R. Meera (2017). Historical Tamil Character Recognition based on Clustering. i-manager’s Journal on Information Technology , 6(1), 19-24. https://doi.org/10.26634/jit.6.1.13505

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Historical Tamil Character Recognition based on Clustering

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