Pengenalan Pola Aksara Jawa Tulisan Tangan dengan Jaringan Syaraf Tiruan Perambatan-Balik

Farida Asriani(1*), Azis Wisnu Widhi Nugraha(2)

(1) Prodi Teknik Elektro Universitas Jenderal Soedirman
(2) Prodi Teknik Elektro Universitas Jenderal Soedirman
(*) Corresponding Author


Automatic reading techniques of handwriting being developed. Computerization of Java script has started to be developed. However, there is no automated reader system for documents written in handwriting Java script. This research applies backpropagation neural network for recignition of handwritten java script. Preprosesing patterns done with Java script normalize the image size to be 40x40 pixels then feature extraction. Performance network training is 99.8% and performance examination is 95.81%.


Java script, normalization, artificial neural networks, backpropagation.

Full Text:



  • There are currently no refbacks.