JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Vol 2, No 1 (2014): Jurnal Ilmu Komputer dan Sistem Informasi

EKSTRAKSI CIRI FEATURE POINT UNTUK PENGENALAN TANDA TANGAN DENGAN MENGGUNAKAN BACKPROPAGATION NEURAL NETWORK

Adrian Primanta S (Unknown)
Chairisni Lubis (Unknown)
Agus Budi Dharmawan (Unknown)



Article Info

Publish Date
31 Jan 2014

Abstract

In this research, the main goal is to make an application to recognize people signature. To make this, we need the method to do our research. Backpropagation Neural Network that is used to train image sample and Feature Point Extraction for feature extraction. This method work with center point of the pixel image. The pre-processing are image binarization, Median filter, Thinning image with Zhang Suen algorithm, cropping, and  scaling for training image.. The method  for feature extraction is feature point extraction. This method works with counting the centeroid of the image. Number of total point centeroid is decide by depth value. The process will stop if the total point centroid is achived. After feature extraction, it will continue to train the sample image using Backpropagation Neural Network. Key wordsBackpropagation, Featurte Point Extraction, Image Binarization, Median Filter, Thinning, Threshold.

Copyrights © 2014






Journal Info

Abbrev

jiksi

Publisher

Subject

Computer Science & IT Mathematics Other

Description

Jurnal Ilmu Komputer dan Sistem Informasi (JIKSI) diterbitkan oleh Fakultas Teknologi Informasi Universitas Tarumanagara (FTI Untar) Jakarta sebagai media publikasi karya ilmiah mahasiswa program studi Teknik Informatika dan Sistem Informasi FTI Untar. Karya-karya ilmiah yang dihasilkan berupa hasil ...