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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
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