Development of Text Recognition Prototype with Classification of Neural Networks AND Text-To-Speech in Javanese Scripts Using Incremental Methods
Ifan Prihandi; Indra Ranggadara; Boy Yuliandi
Journal Title:International Journal of Computer Science and Mobile Computing - IJCSMC
Artificial neural networks are information processing systems that have characteristics similar to human neural networks. Learning models need to be done on an artificial neural network before being used to solve problems by examining and correcting any errors that occur during the learning process. Developments in information technology affect particular scientific 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. Akshara Java is one of the priceless cultural heritages. Form of script and art-making becomes a relic that deserves to be preserved. Not only in Java, but Akshara Java is also used in the Sunda and Bali, although there is little difference in the writing 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 Akshara 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.