Survey and Analysis of Devnagari Character Recognition Techniques using Neural Networks
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10.5120/7263-0158 |
Neha Sahu, R K Rathy and Indu Kashyap. Article: Survey and Analysis of Devnagari Character Recognition Techniques using Neural Networks. International Journal of Computer Applications 47(15):13-18, June 2012. Full text available. BibTeX
@article{key:article,
author = {Neha Sahu and R. K. Rathy and Indu Kashyap},
title = {Article: Survey and Analysis of Devnagari Character Recognition Techniques using Neural Networks},
journal = {International Journal of Computer Applications},
year = {2012},
volume = {47},
number = {15},
pages = {13-18},
month = {June},
note = {Full text available}
}
Abstract
English Character Recognition techniques have been studied extensively in the last few years and its progress and success rate is quite high. But for regional languages these are still emerging and their success rate is moderate. There are millions of people who speak Hindi and use Devnagari script for writing. As digital documentation in Devnagari script is gaining popularity. Research in Optical Character Recognition (OCR) is very essential especially with an eye on its applications in banks, post offices, defense organizations, library automation, etc. Devnagari Optical Character Recognition needs more attention as it is national language and there is less development in this field due to complexity in the script. This paper describes the current techniques being used for DOCR. The overview of the system is explained with the available techniques and their current status.
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