Aplikasi Identifikasi Wajah Berbasis Android

Identification technology has been widely developed today, such as fingerprint identification, palms and face. Identification is the determination of a person's identity and the process of identifying is an activity in determining or establishing a person's identity. Development of this id...

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Main Authors: I Kadek Surya Widiakumara, I Ketut Gede Darma Putra, Kadek Suar Wibawa
Format: Article
Language:Indonesian
Published: Universitas Udayana 2017-12-01
Series:Lontar Komputer
Online Access:https://ojs.unud.ac.id/index.php/lontar/article/view/34269
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spelling doaj-4fcb51129d9c4829a78d104936648c5d2020-11-24T22:39:47ZindUniversitas UdayanaLontar Komputer2088-15412541-58322017-12-0120020710.24843/LKJITI.2017.v08.i03.p0634269Aplikasi Identifikasi Wajah Berbasis AndroidI Kadek Surya WidiakumaraI Ketut Gede Darma PutraKadek Suar WibawaIdentification technology has been widely developed today, such as fingerprint identification, palms and face. Identification is the determination of a person's identity and the process of identifying is an activity in determining or establishing a person's identity. Development of this identification technology has been applied to various devices one of them on Android based smartphone. Most of the development of Android based identification is still use storage technology on the device itself. The Eigenface method is used to extract the relevant information from a face image, then convert it into the most efficient set of codes and the code is compared to the code from the properties it has stored in the database. Face Identification Application Android Based is built by using storage technology on the server (MySQL) and also use the Eigenface Method. The success rate of face identification test results was 68% and the false accept rate of 32%, of the total trial was 25 times identification. Some important factors that influence the success rate of identification are the position of the face and the intensity of light during enrollment.https://ojs.unud.ac.id/index.php/lontar/article/view/34269
collection DOAJ
language Indonesian
format Article
sources DOAJ
author I Kadek Surya Widiakumara
I Ketut Gede Darma Putra
Kadek Suar Wibawa
spellingShingle I Kadek Surya Widiakumara
I Ketut Gede Darma Putra
Kadek Suar Wibawa
Aplikasi Identifikasi Wajah Berbasis Android
Lontar Komputer
author_facet I Kadek Surya Widiakumara
I Ketut Gede Darma Putra
Kadek Suar Wibawa
author_sort I Kadek Surya Widiakumara
title Aplikasi Identifikasi Wajah Berbasis Android
title_short Aplikasi Identifikasi Wajah Berbasis Android
title_full Aplikasi Identifikasi Wajah Berbasis Android
title_fullStr Aplikasi Identifikasi Wajah Berbasis Android
title_full_unstemmed Aplikasi Identifikasi Wajah Berbasis Android
title_sort aplikasi identifikasi wajah berbasis android
publisher Universitas Udayana
series Lontar Komputer
issn 2088-1541
2541-5832
publishDate 2017-12-01
description Identification technology has been widely developed today, such as fingerprint identification, palms and face. Identification is the determination of a person's identity and the process of identifying is an activity in determining or establishing a person's identity. Development of this identification technology has been applied to various devices one of them on Android based smartphone. Most of the development of Android based identification is still use storage technology on the device itself. The Eigenface method is used to extract the relevant information from a face image, then convert it into the most efficient set of codes and the code is compared to the code from the properties it has stored in the database. Face Identification Application Android Based is built by using storage technology on the server (MySQL) and also use the Eigenface Method. The success rate of face identification test results was 68% and the false accept rate of 32%, of the total trial was 25 times identification. Some important factors that influence the success rate of identification are the position of the face and the intensity of light during enrollment.
url https://ojs.unud.ac.id/index.php/lontar/article/view/34269
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