Neural Networks are being used for character recognition from last many years
but most of the work was confined to English character recognition. Till date,
a very little work has been reported for Handwritten Farsi Character
recognition. In this paper, we have made an attempt to recognize handwritten
Farsi characters by using a multilayer perceptron with one hidden layer. The
error backpropagation algorithm has been used to train the MLP network.