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     Research Journal of Applied Sciences, Engineering and Technology


Recognition of South Indian Language Numerals Using Minimum Distance Classifier

F. Jennifer Alin and K.N. Saravanan
Department of Computer Science, Christ University, Bangalore, 560029, India
Research Journal of Applied Sciences, Engineering and Technology  2017  4:161-169
http://dx.doi.org/10.19026/rjaset.14.4160  |  © The Author(s) 2017
Received: February 3, 2017  |  Accepted: March 19,2017  |  Published: April 15, 2017

Abstract

The recognition of handwritten and machine printed numerals have received extensive attention in pattern recognition. Indian handwritten character identification is slightly demanding because of the presence of character modifiers and also many documents consists of numerals which are both printed and handwritten. There are plenty of recognition systems developed for numeral recognition. Our aim is to develop a single framework or recognition system which could distinguish between numerals of various languages. Mixture of printed and handwritten character numerals in Indian context normally show up in documents such as application forms, postal mail, office letters and so forth. Generally, Humans can distinguish the difference in characters but to make a machine understand is challenging. Hence in order to make the machine understand numerals of different languages, this study has been carried out. The recognition rate of 87.96, 87.93, 86.93 and 89.16%, respectively has been achieved for Kannada, Telugu, Tamil and Malayalam numerals respectively.

Keywords:

Character modifiers, handwritten character, pattern recognition, postal mail, solitary document,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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