Generalized net model of encrypting message in an image using self organizing map neural network

This paper describes the combination of artificial neural networks, image processing and encryption for the purpose of encrypting text in a message using Self Organizing Map neural network. The main goal is to send a message between two users, which is encrypted in an image, and if a wrong person receives it he will not be permitted to read the message. The neural network is trained by a training set and divided into twenty-six clusters, where each cluster responds to a letter from the English alphabet. When the procedure is done a random image is applied to the network for testing in order to find the area of alphabetical letters. The process of encryption is described with Generalized net.