PENGENALAN POLA ALPHABET TULISAN TANGAN SECARA ON-LINE DENGAN JST-BP

Tole Sutikno (Universitas Ahmad Dahlan)
Andhy Fathurrakhman (Universitas Ahmad Dahlan)

TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 3, No 2: August 2005

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.