OPTICAL CHARACTER RECOGNITION DENGAN METODE JARINGAN SARAF TIRUAN BACKPROPAGATION

Abstract

Artificial Neural Network is one of algorithms that is often used in intelligent system. These algorithms build a system based on biology Artificial Neural Network which is similar to human brain in solving a problem. Many applications based on Artificial Neural Network (ANN) have been developed in all areas especially in Pattern recognition. One of ANN is back propagation that is supervised learning. This training process is done by upgrading also achieving some targets. The implementation of character pattern recognition is as an application for pattern character recognition from A-Z which function to analyze sample data in image form (BMP file) that will be changed into grayscale. These conversion will produce character in document that gives benefit for process information in text that has already saved in images so that it can be edited or erased based on user needs.