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Neural Network Based Rotation, Scale and Font Invariant English character Recognition System

Sheifali Gupta, Nitin Khosla


This paper proposes a Neural Network based rotation, scale and font invariant character recognition system using back-propagation based neural network. A lot of methods are developed which emphasis on rotation, scale and font invariance, but there is still lack of effective methods which work on all three objective simultaneously. The proposed work emphasize not only on these objectives but also on making the system translation invariant. This system finds its application in library management system, Number plate recognition and in many more similar fields.


Neural Network, Backpropagation, Mean Radius, Feature Extraction.

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