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Face Recognition Attendance System based on Real-Time Video

by Eiti Jain, Santosh Mishra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 6
Year of Publication: 2022
Authors: Eiti Jain, Santosh Mishra
10.5120/ijca2022921983

Eiti Jain, Santosh Mishra . Face Recognition Attendance System based on Real-Time Video. International Journal of Computer Applications. 184, 6 ( Apr 2022), 12-18. DOI=10.5120/ijca2022921983

@article{ 10.5120/ijca2022921983,
author = { Eiti Jain, Santosh Mishra },
title = { Face Recognition Attendance System based on Real-Time Video },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2022 },
volume = { 184 },
number = { 6 },
month = { Apr },
year = { 2022 },
issn = { 0975-8887 },
pages = { 12-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number6/32332-2022921983/ },
doi = { 10.5120/ijca2022921983 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:20:45.375157+05:30
%A Eiti Jain
%A Santosh Mishra
%T Face Recognition Attendance System based on Real-Time Video
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 6
%P 12-18
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A person's face becomes their identification. Since the invention of computer vision applications, the strategies for exploiting this physical property have changed dramatically. c Every school, and collage library keeps track of attendance. Traditional approach for attendance is professor calls student name & record attendance. It takes some time to record attendance. Suppose duration of class of one subject is about 50 minutes & to record attendance takes 5 to 10 minutes. It is a waste of time for every lecture. To eliminate these losses, we're going to apply an automated picture processing procedure. Face detection and recognition systems are used in this unique technique. Face detection distinguishes face from non-faces, which is necessary for correct attendance. The alternative method is to use face recognition to track a student's attendance. By the proposed method ( HAAR, AdaBoost and Deep Neural Network) we are getting an accuracy of 99.41 percent on the automatic face detection system.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Video Processing Face Recognition Technology Face Recognition Attendance Attendance System Video Recognition.

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