Pengenalan Pola Aksara Jawa Tulisan Tangan dengan Jaringan Syaraf Tiruan Perambatan-Balik
Abstract: 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%.
Penulis: Farida Asriani, Azis
Wisnu Widhi Nugraha
Kode Jurnal: jptindustridd090071
