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Application of Neural Networks in Character Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 52 - Number 12 |
| Year of Publication: 2012 |
| Authors: V. Kalaichelvi, Ahammed Shamir Ali |
10.5120/8251-1770
|
V. Kalaichelvi, Ahammed Shamir Ali . Application of Neural Networks in Character Recognition. International Journal of Computer Applications. 52, 12 ( August 2012), 1-6. DOI=10.5120/8251-1770
Abstract
With the recent advances in the computing technology, many recognition tasks have become automated. Character Recognition maps a matrix of pixels into characters and words. Recently, artificial neural network theories have shown good capabilities in performing character recognition. In this paper, the application of neural networks in recognizing characters from a printed script is explored. Contrast to traditional methods of generalizing the character set, a highly specific character set is trained for each type. This can be termed as targeted character recognition.
References
- AJ Palkovic. "Improving Optical Character Recognition. " Proceedings of the 2nd Villanova University Undergraduate Computer Science Research Symposium (CSRS 2008). December 5, 8 & 10, 2008, [Online], USA.
- Omid Rashnodi, Hedieh Sajedi and Mohammad Sanjee Abadesh. "Article using Box approach in Persian Handwritten Digits Recognition. " International Journal of Computer Applications, vol. 32, no. 3, pp 1-8.
- Sameeksha Barve. "Optical Character Recognition Using Artificial Neural Network. " International Journal of Advanced Research in Computer Engineering & Technology", Vol. 1, No. 4, 2012.
- Anuja P. Nagare. "License Plate Character Recognition System using Neural Network. " International Journal of Computer Applications, Volume 25, No. 10, July 2011, pp. 36-39.
- V. Kalaichelvi, D. Sivakumar and R. Karthikeyan. "Prediction of flow stress of 6061 Al-15% SiC MMC composites using adaptive network based fuzzy inference system. " International Journal of Materials and Design, volume 30, issue 4, April 2009, pp 1362-1370.
- Laurene Fausett. "Fundamentals of Neural Networks: Architecture, Algorithms and Applications. " Prentice Hall, 1994.
- S. N. Sivanandam, S. Sumathi and S. N. Deepa. "Introduction to Neural Networks using MATLAB. " Tata McGraw Hill, 2006.
- Neural Network toolbox user's guide, The Math works Inc. ; 1998, Version 4. 0.
- Danilo Octavio [Online]. Available: http://wwweurope. mathworks. com/matlabcentral/fileexchange/18169-optical-character-recognition-ocr. 2009.
- Li, Fuliang and Gao, Shuangxi. "Character Recognition System Based on Back-propagation Neural Network", International Conference on Machine Vision and Human-machine Interface. 2010.
- Hussain, B and Kabuka, M. R. , "A novel feature recognition neural network and its application to character recognition", IEEE Transactions of Pattem Recognition and Machine Intelligence, Vol. 16, No. 1, 1994.
- Yingqiao Shi, Wenbing Fan, Guodong Shi. "The Research of Printed Character Recognition based on Neural Network", Fourth International Symposium on Parallel Architectures, Algorithms and Programming. 2011.
- Srinivasan, B and Mani, N. "Application of artificial neural network model for optical character recognition", Systems, Man, and Cybernetics, 1997.
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