Prototipe Text Recognition dengan Klasifikasi Neural Network dan Text-to-Speech pada Huruf Aksara Jawa

Abstract

Developments in information technology affect
scientific particular expertise. Field of image processing does not
become one - the only method of solving a problem, but the current
image processing combined with artificial intelligence to examine
or look for a solution in a variety of applications. Aksara Jawa is
one of the cultural heritage that is priceless. Form of script and art
making becomes a relic that deserves to be preserved. Not only in
Java, Aksara Jawa is apparently also used in the Sunda and Bali,
although there is little difference in the writing but actually used
the same script. The purpose of this research is to create a model of
image processing and converted into text into voice so that people
can learn Aksara Jawa and able to preserve the culture of
Indonesia and is expected to be a reference for the development of
the mobile application development at a later stage.