Java Characters Recognition using Evolutionary Neural Network and Combination of Chi2 and Backpropagation Neural Network

Javanese language is the language used by the people on the island of Java
and it has its own form of letters called Java characters. Recognition of Java
characters is quite difficult because it consist of basic characters, numbers,
complementary characters, and so on. In this research we developed a system
to recognize Java characters and compared two methods of neural network
namely evolutionary neural network and combination of Chi2 and
backpropagation neural network. Input for the system is a digital image of Java
characters. Before entering into the neural network, the digital image is
processed by reducing noise, segmentation and thinning and feature extraction.
From experimental result, evolutionary neural network has 60 average
recognition accuracy, while combination of Chi2 and backpropagation network
has 70 average recognition accuracy