PENGENALAN POLA ALPHABET TULISAN TANGAN SECARA ON-LINE DENGAN JST-BP
Abstract: The intelligent
system based in the backpropagation artificial neural network and image
processing with GUI Matlab 7.0 was developed. This system is designed for
on-line pattern recognition. In this experiments, system are trained dan tested
using capital alfabet handwriting patterns that captured from on-line webcam
automatically. Generally, the results of the experiments show that the system
could recoginize with a high accuracy.
Penulis: Tole Sutikno, Andhy
Fathurrakhman
Kode Jurnal: jptkomputerdd050025
