Application of artificial neural network model for optical character recognition

Abstract

Many artificial neural network models (ANNs) have been proposed to mimic the human brain in solving problems involving human-like intelligence. An application of an artificial neural network approach for optical character recognition (OCR) is discussed in this paper. We examine a simple pattern-recognition system using an artificial neural network to simulate character recognition. A simple feedforward neural network model has been trained with different sets of noisy data. The backpropagation method is used for learning in the neural network.