An Arabic character recognition system using neural network

An optical character recognition system, which uses a multilayer perceptron classifier, is described. A new approach for the classification of Arabic characters is presented. The technique used is invariant to translation, scale and rotation. Present day artificial neural network (ANN) architecture for invariant character recognition is too complex for our present technology. An alternative procedure is to preprocess the input data and represent them in another form which is invariant to geometrical changes. The advantage of using such a method is that the number of input features is reduced considerably.