APLIKASI JARINGAN SYARAF TIRUAN PADA PENGENALAN TULISAN HURUF ARAB

In this Skripsi. Writer make the appcation by using Artificial Nerve Network.

Problem this character arab at recognition change of data pattern in course of this

recognition huruf arab.

This system data which can be recognized to come from image of character

arab. Image of character arab to be recognized will process of image peocessing, where

image which have fromat grayscale will be come the image owning lower level that in

bynary image. This binary image character will recognition step. System of this character

arab recognition own two especial step that is study information will be used to recognize

the character arab recognition process.

Pursuant to result of research of artificial nerve method Backpropogation able

to recognize the image of character arab with the efficacy storey, level 87,84 %. System

efficacy in recognizing each, every character image base on the pattern which have been

learned by system.