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IR 4.0 generation of face recognition based system

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Main Authors: Aifian, Saizal, Md Mustam, M.F.L Abdullah, Farhana, Ahmad Po’ad, Ariffuddin, Joret
Other Authors: faiz@uthm.edu.my
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2022
Subjects:
Attendance system
Face recognition
Viola-Jones algorithm
HOG feature extraction
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75089
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spelling my.unimap-750892022-05-09T01:05:30Z IR 4.0 generation of face recognition based system Aifian Saizal, Md Mustam M.F.L Abdullah Farhana, Ahmad Po’ad Ariffuddin, Joret faiz@uthm.edu.my Attendance system Face recognition Viola-Jones algorithm HOG feature extraction Link to publisher's homepage at http://ijneam.unimap.edu.my Nowadays, the usage of a manual attendance system has become irrelevant with the current technological advancements. Although, there are many advanced attendance systems such as RFID attendance. It does not solve the problem face in the manual system, like inaccurate data, falsification of attendance, and time-consuming. Therefore, this paper suggests a face recognition attendance system to improve these drawbacks, as it can offer accurate attendance and required less time in recording attendance. Viola-Jones algorithm and Histogram of Oriented Gradient (HOG) feature extraction are techniques applied in this paper. The Viola-Jones algorithm will detect faces on the received image while the HOG feature extraction technique algorithm extracts the facial feature and compare it with the database for face recognition. An android application was developed for the user to upload and check the attendance record done by the face recognition process. 2022-05-09T01:05:30Z 2022-05-09T01:05:30Z 2021-12 Article International Journal of Nanoelectronics and Materials, vol.14 (Special Issue), 2021, pages 207-218 1985-5761 (Printed) 1997-4434 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75089 http://ijneam.unimap.edu.my en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Attendance system
Face recognition
Viola-Jones algorithm
HOG feature extraction
spellingShingle Attendance system
Face recognition
Viola-Jones algorithm
HOG feature extraction
Aifian
Saizal, Md Mustam
M.F.L Abdullah
Farhana, Ahmad Po’ad
Ariffuddin, Joret
IR 4.0 generation of face recognition based system
description Link to publisher's homepage at http://ijneam.unimap.edu.my
author2 faiz@uthm.edu.my
author_facet faiz@uthm.edu.my
Aifian
Saizal, Md Mustam
M.F.L Abdullah
Farhana, Ahmad Po’ad
Ariffuddin, Joret
format Article
author Aifian
Saizal, Md Mustam
M.F.L Abdullah
Farhana, Ahmad Po’ad
Ariffuddin, Joret
author_sort Aifian
title IR 4.0 generation of face recognition based system
title_short IR 4.0 generation of face recognition based system
title_full IR 4.0 generation of face recognition based system
title_fullStr IR 4.0 generation of face recognition based system
title_full_unstemmed IR 4.0 generation of face recognition based system
title_sort ir 4.0 generation of face recognition based system
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2022
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75089
_version_ 1738511704818450432
score 13.214268

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