A DEVELOPMENT OF SIMPLE HANDWRITING DETECTION SYSTEM BASED ON NEURAL NETWORK

In this paper, we developed a handwriting detection system - a two input gate that can be trained to perform the function of any digital gate - using neural network tech. We provide a set of images as input to the network along with an ASCII character that corresponds to each input. And, we examined whether the network can predict a character when an arbitrary image is given. Surprisingly, proposed method is pretty easy to develop. Because, we developed some functions to deal directly with images