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Segmentation of Devanagari Handwritten Characters
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 142 - Number 14 |
| Year of Publication: 2016 |
| Authors: Ankita Srivastav, Neha Sahu |
10.5120/ijca2016909994
|
Ankita Srivastav, Neha Sahu . Segmentation of Devanagari Handwritten Characters. International Journal of Computer Applications. 142, 14 ( May 2016), 15-18. DOI=10.5120/ijca2016909994
Abstract
The world is fast moving towards digitalization. In the age of super-fast computational capabilities, everything has to be made digitalized so as to make the computer understand and thereby process the given information. Optical character recognition is a method by which the computer is made to learn, understand and interpret the languages used and written by the human beings. It provides us a whole new way by which computer can interact with human beings, in their own languages. Hence OCR has been a topic of interest for researchers all around the globe in the past decade and research paper involving OCR is increasing day by day. It is seen that efficient algorithms have increased the speed and accuracy of character segmentation and recognition. A substantial amount of work has been done on foreign languages such as English , Chinese etc. but very few paper are there for Indian languages baring a few for Hindi and Bengali. Hence our research work was directed towards development of a novel algorithm for Devanagari character segmentation for Hindi. Hindi is one of the eighteen languages recognized by the Indian constituency. It is also one of the oldest languages and is spoken by millions of people in India. Segmentation and Recognition of this particular language is difficult because of the presence of complex connected characters and presence of shirorekha. A novel approach has been proposed for the segmentation of the connected character.
References
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- Vijay Kumar and Pankaj K. Senegar, “Segmentation of Printed Text in Devanagari Script and Gurumukhi Script”, International Journal of Computer Applications(IJCA), Vol.3, pp. 24-29, 2010.
- Rapeeporn Chamchong, Chun Che Fung,” A Combined Method of Segmentation for Connected Handwritten on Palm Leaf Manuscripts”, 2014 IEEE International Conference on Systems, Man, and Cybernetics October 5-8, 2014, San Diego, CA, USA.
- Namrata Dave, “Segmentation methods for Handwritten Character Recognition”, International Journal of signal processing, image processing and pattern rcognition, vol 8no4(2015),pp.154-164 http://dx.doi.org/10.4257/ijsip.2015.8.4.14
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