Handwriting recognition using supervised neural networks

In this paper, we have proposed a method for person authentication based on his/her handwriting. We have used multilayer feedforward neural network (MLFFNN) with backpropagation learning for the task. The method is based on the observation that there exists a relationship between the heights and widths of the alphabets written by an individual which is unique and specific to him. For classification 100% accuracy in person authentication was achieved using a database consisting of 10 people.