Optical character recognition (OCR) system for Roman script & English language using Artificial Neural Network (ANN) classifier

Character recognition from scanned images is a very complex task. But as for record keeping we require all the data in digital format to perform various manipulation operations. The main issue in case of character recognition is the different styles and fonts in which the text is written. We proposed a new approach by using the concept of Artificial Neural Network and Nearest Neighbour approach for character recognition from scanned images. Three layers are used for classification purpose. First is the input layer consist the input given by the segmented characters, then hidden layer consist the neurons trained by the training network and the output layer consist output neurons to generate unicode.