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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
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Offline Handwritten Sanskrit Character Recognition Using Hough Transform and Euclidean Distance


Volume 10, Issue 2, October 2014, Pages 295–302

 Offline Handwritten Sanskrit Character Recognition Using Hough Transform  and Euclidean Distance

Sujata S. Magare1 and Ratnadeep R. Deshmukh2

1 Department of CS-IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India
2 Department of CS-IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India

Original language: English

Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


In this paper, we describe the methodology derived for offline handwritten Sanskrit character recognition. This paper will provide a way for researcher to develop a dataset and techniques for offline handwritten Sanskrit character recognition. This paper describes basics of dataset; challenges associated with character system and proposed techniques to recognize Sanskrit Compound Characters.

Author Keywords: Offline Character Recognition, Hough Transform, Prewitt Edge Detection, Enclosed Region, Normalization, Euclidean Distance Classifier.


How to Cite this Article


Sujata S. Magare and Ratnadeep R. Deshmukh, “Offline Handwritten Sanskrit Character Recognition Using Hough Transform and Euclidean Distance,” International Journal of Innovation and Scientific Research, vol. 10, no. 2, pp. 295–302, October 2014.