ICON-CSE
Vol 1, No 1 (2014)

Watershed Segmentation for Face Detection Using Artificial Neural Network

Julian Supardi (Unknown)

Article Info

Publish Date
05 Nov 2015

Abstract

In a face image containing objects sometimes face has a color similar to the background color or objects that are nearby. This causes the system to detect any objects in the face in an image. This study wants to try to overcome these problems. The approach used in this study is a dynamic image segmentation. The segmentation will produce region-region are then used as input for the neural network. From the experiments conducted, the method used is good enough to detect faces. The results showed that the approach used in this study can detect all of the data that had trained, while for the data that has not been trained detection rate reached 70%.

Copyrights © 2014




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
ICON-CSE
Website

Abbrev

iconcse

Publisher

Universitas Sriwijaya

Subject

Computer Science & IT Engineering

Description

In partnership between Faculty of Computer Science, Sriwijaya University, Kirklareli University and Institute of Advanced Engineering and Science (IAES), we are delighted to be hosting the first international conference on computer science and ...