Ottoman characters from three different fonts are used in character recognition problems; broadly speaking, this involves transferring a page that contain symbols to the computer and matching these symbols with previously known or recognized symbols after extraction the features of these symbols via appropriate preprocessing methods. Because of silent features of the characters implementing an Ottoman character recognition system is difficult work. Different researchers have done lots of works for years to develop systems that would recognize Latin characters. Although almost one million people use Ottoman characters, many with different native languages, the number of studies in this field is insufficient. In this study 25 different machine-printed characters were used to train the Artificial Neural Network and a 95% classification accuracy for the characters in these fonts and a 70% classification accuracy for a different font have been found.