research-article

Face Recognition for Attendance System Using Neural Networks Technique

Author:

Dulyawit PrangchumpolAuthors Info & Claims

ISCSIC 2019: Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control

Article No.: 58, Pages 1 - 5

https://doi.org/10.1145/3386164.3389102

Published: 06 June 2020 Publication History

Abstract

Face recognition have come from considering various aspects of this specialized perception problem such as apply for help checking attendant. In order to solve this problem, many systems have been completely changed due to this evolve to achieve more accurate results. This research aims to develop the facing attendant system to be more effective and the mechanic of the system, which students can easily verify. The cloud storage was used for Attendance System. The experiment of this research is to find the way to recognize the face by using the technique of Neural Networks, which can correctly recognize up to 95%. This model can apply with school and university.

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Cited By

Aggarwal MSingh RDuggal YArora SSabharwal AReddy SAnand R(2024)Modernizing Attendance Tracking: An Automated Headcount System Integrated with Face DetectionInnovative Computing and Communications10.1007/978-981-97-4149-6_34(507-519)Online publication date: 27-Sep-2024
https://doi.org/10.1007/978-981-97-4149-6_34
Silva LSobrinho ÁCordeiro TMelo RBittencourt IMarques LMatos DSilva AIsotani S(2023)Applications of convolutional neural networks in educationExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.120621231:COnline publication date: 30-Nov-2023
https://dl.acm.org/doi/10.1016/j.eswa.2023.120621
Anshari AHirtranusi SIndra Sensuse DSuryono RKautsarina (2021)Designing An Attendance System Model for Work From Home (WFH) Employees Based on User-Centered2021 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE)10.1109/ICOMITEE53461.2021.9650210(125-132)Online publication date: 27-Oct-2021
https://doi.org/10.1109/ICOMITEE53461.2021.9650210

Index Terms

Face Recognition for Attendance System Using Neural Networks Technique
1. General and reference
  1. Cross-computing tools and techniques
    1. Experimentation

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cover image ACM Other conferences

ISCSIC 2019: Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control

September 2019

397 pages

ISBN:9781450376617

DOI:10.1145/3386164

Copyright © 2019 ACM.

© 2019 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 June 2020

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ISCSIC 2019

ISCSIC 2019: 2019 3rd International Symposium on Computer Science and Intelligent Control

September 25 - 27, 2019

Amsterdam, Netherlands

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ISCSIC 2019 Paper Acceptance Rate 77 of 152 submissions, 51%;

Overall Acceptance Rate 192 of 401 submissions, 48%

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Cited By

Aggarwal MSingh RDuggal YArora SSabharwal AReddy SAnand R(2024)Modernizing Attendance Tracking: An Automated Headcount System Integrated with Face DetectionInnovative Computing and Communications10.1007/978-981-97-4149-6_34(507-519)Online publication date: 27-Sep-2024
https://doi.org/10.1007/978-981-97-4149-6_34
Silva LSobrinho ÁCordeiro TMelo RBittencourt IMarques LMatos DSilva AIsotani S(2023)Applications of convolutional neural networks in educationExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.120621231:COnline publication date: 30-Nov-2023
https://dl.acm.org/doi/10.1016/j.eswa.2023.120621
Anshari AHirtranusi SIndra Sensuse DSuryono RKautsarina (2021)Designing An Attendance System Model for Work From Home (WFH) Employees Based on User-Centered2021 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE)10.1109/ICOMITEE53461.2021.9650210(125-132)Online publication date: 27-Oct-2021
https://doi.org/10.1109/ICOMITEE53461.2021.9650210
Anshari AHirtranusi SSensuse DKautsarina Suryono R(2021)Face Recognition for Identification and Verification in Attendance System: A Systematic Review2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)10.1109/COMNETSAT53002.2021.9530817(316-323)Online publication date: 17-Jul-2021
https://doi.org/10.1109/COMNETSAT53002.2021.9530817

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