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Application of Neural Networks in Character Recognition

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 52 - Number 12
Year of Publication: 2012
Authors:
V. Kalaichelvi
Ahammed Shamir Ali
10.5120/8251-1770

V Kalaichelvi and Ahammed Shamir Ali. Article: Application of Neural Networks in Character Recognition. International Journal of Computer Applications 52(12):1-6, August 2012. Full text available. BibTeX

@article{key:article,
	author = {V. Kalaichelvi and Ahammed Shamir Ali},
	title = {Article: Application of Neural Networks in Character Recognition},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {52},
	number = {12},
	pages = {1-6},
	month = {August},
	note = {Full text available}
}

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.

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