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DESAIN DAN IMPLEMENTASI SISTEM FACE RECOGNITION MENGGUNAKAN WEBCAM UNTUK PENGAMAN PINTU DENGAN METODE PRINCIPAL COMPONENT ANALYSIS

Main Author: MONIKA, SINAR
Format: Thesis NonPeerReviewed Book
Bahasa: eng
Terbitan: , 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access: http://eprints.polsri.ac.id/4516/1/file%201.pdf
http://eprints.polsri.ac.id/4516/2/file%202.pdf
http://eprints.polsri.ac.id/4516/3/file%203.pdf
http://eprints.polsri.ac.id/4516/4/file%204.pdf
http://eprints.polsri.ac.id/4516/5/file%205.pdf
http://eprints.polsri.ac.id/4516/6/file%206.pdf
http://eprints.polsri.ac.id/4516/7/file%207.pdf
http://eprints.polsri.ac.id/4516/8/Lampiran%20-%20Mainform.pdf
http://eprints.polsri.ac.id/4516/
ctrlnum 4516
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language eng
format Thesis:Thesis
Thesis
PeerReview:NonPeerReviewed
PeerReview
Book:Book
Book
author MONIKA, SINAR
title DESAIN DAN IMPLEMENTASI SISTEM FACE RECOGNITION MENGGUNAKAN WEBCAM UNTUK PENGAMAN PINTU DENGAN METODE PRINCIPAL COMPONENT ANALYSIS
publishDate 2017
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.polsri.ac.id/4516/1/file%201.pdf
http://eprints.polsri.ac.id/4516/2/file%202.pdf
http://eprints.polsri.ac.id/4516/3/file%203.pdf
http://eprints.polsri.ac.id/4516/4/file%204.pdf
http://eprints.polsri.ac.id/4516/5/file%205.pdf
http://eprints.polsri.ac.id/4516/6/file%206.pdf
http://eprints.polsri.ac.id/4516/7/file%207.pdf
http://eprints.polsri.ac.id/4516/8/Lampiran%20-%20Mainform.pdf
http://eprints.polsri.ac.id/4516/
contents Face Recognition is to compare the input image with the database face and find the face that best suits the input image to be said to be recognized or not. Developed using Visual Studio Software and using arduinouno in order to identify the face that suits the database in realtime. There are 3 house owner in the database where each occupant has 30 facial image databases retrieved from webcam camera from front view, without using accessories, and without expression. Because the dimension of pixel result of big transformation then done dimension reduction by using method of Principal Component Analysis which also known as eigenface method. At the time of testing by using the method of Principal Component Analysis there are two stages when identifying the image of his face. The first stage is the preprocessing stage and the second stage is the introduction stage. After the image of the training is processed it will look for the average value if the input image close to the average value of the face image on the database and the image is recognized then arduino will give the command to open the prototype door. The success rate in this experiment is very good as expected and has a high degree of accuracy and rapid detection. The level of success depends on the lighting, the image factor being performed during the database retrieval process, the expression of the face, and the angle of the image.
id IOS15200.4516
institution Politeknik Negeri Sriwijaya
institution_id 186
institution_type library:university
library
library Perpustakaan Politeknik Negeri Sriwijaya
library_id 333
collection Perpustakaan Politeknik Negeri Sriwijaya
repository_id 15200
city KOTA PALEMBANG
province SUMATERA SELATAN
repoId IOS15200
first_indexed 2021-08-25T09:31:40Z
last_indexed 2021-08-25T09:31:40Z
recordtype dc
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score 17.538404

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