Handwritten Isolated Digit Recognition Using Artificial Neural Networks

A new mechanism proposes the use of Artificial Neural Network (ANN) models for recognizing handwritten isolated digits and also presents new techniques for to extract digits from scanned digits images. Remove the slope and slant from handwritten isolated digits and normalize the size of Digit images with our proposed methods. Experiments have been conducted on handwritten isolated digits and the achieved recognizing rates up to 99%.