STRING (Satuan Tulisan Riset dan Inovasi Teknologi)
Vol 3, No 1 (2018)

Deteksi Wajah Menggunakan Hidden Markov Model (HMM) Berbasis Matlab

Nur Widya Pratiwi (Fakultas Teknologi Komunikasi dan Informatika - Universitas Nasional)
Fauziah Fauziah (Universitas Nasional)
Septi Andryana (Universitas Nasional)
Aris Gunaryati (Universitas Nasional)



Article Info

Publish Date
06 Aug 2018

Abstract

Face is a part of the body that can be detected. It makes face the basis of a detection system. The system can detect the object of face from an input image. The research develops the face detection system using Hidden Markov Model (HMM) method. The system is a computer technology allowing identification or verification of a person's face through an image. The workings of face detection system is by matching a face image with face image stored in file. Unlike the previous system that can only detect black-and-white pictures or images, the system created in this research is an update that can detect black-and-white and color pictures or images. This face detection system uses MATLAB software for its program and Guide MATLAB for its design. From the experiments and tests performed, the application can detect face image with success rate up to 95.9%. This proves the tool is quite good in face recognition or detection.

Copyrights © 2018






Journal Info

Abbrev

STRING

Publisher

Subject

Computer Science & IT Mathematics

Description

STRING (Satuan Tulisan Riset dan Inovasi Teknologi) focuses on the publication of the results of scientific research related to the science and technology. STRING publishes scholarly articles in Science and Technology Focus and Scope Covering: 1. Computing and Informatics 2. Industrial Engineering ...