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Enhanced Continuous Face Recognition Algorithm for Bandwidth Constrained Network in Real Time Application

Bandwidth; Biometrics; Bandwidth-constrained; Biometric recognition; Different resolutions; Face recognition algorithms; Krawtchouk moment; Network bandwidth; Real-time application; Face recognition

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Bibliographic Details
Main Authors: Dzulkifly S., Aris H., Janahiraman T.V.
Other Authors: 55569716800
Format: Conference Paper
Published: Association for Computing Machinery 2023
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id my.uniten.dspace-25541
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spelling my.uniten.dspace-255412023-05-29T16:10:40Z Enhanced Continuous Face Recognition Algorithm for Bandwidth Constrained Network in Real Time Application Dzulkifly S. Aris H. Janahiraman T.V. 55569716800 13608397500 57215350701 Bandwidth; Biometrics; Bandwidth-constrained; Biometric recognition; Different resolutions; Face recognition algorithms; Krawtchouk moment; Network bandwidth; Real-time application; Face recognition Current advancement in technologies enables improvements in terms of general welfare and security to be made. These days, biometric recognition is highly regarded as one of the safest and unique ways to verify, authenticate and provide access to the users. One known biometric recognition type is face. Face recognition (FR) is widely used for a number of reasons, ranging from verification purpose or to enabling access. While numerous studies on FR algorithm are carried out, there are still few researches that elaborate on the real-time application of the proposed algorithms. In this paper, the development of an FR algorithm meant for real-time application is described. The algorithm is developed based on the Discrete Krawtchouk Moment (DKM), which is known for its wide application in FR. Our work extends other work in this area by having an algorithm that is able to perform the recognition swiftly without consuming a lot of network bandwidth. Evaluation performed using two different types of camera of different resolutions confirms the ability of the proposed algorithm to fulfil its objectives. � 2020 ACM. Final 2023-05-29T08:10:40Z 2023-05-29T08:10:40Z 2020 Conference Paper 10.1145/3386762.3386778 2-s2.0-85086267940 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086267940&doi=10.1145%2f3386762.3386778&partnerID=40&md5=d0d74249326aa4b6e42a6352119d53b4 https://irepository.uniten.edu.my/handle/123456789/25541 131 135 All Open Access, Bronze Association for Computing Machinery Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Bandwidth; Biometrics; Bandwidth-constrained; Biometric recognition; Different resolutions; Face recognition algorithms; Krawtchouk moment; Network bandwidth; Real-time application; Face recognition
author2 55569716800
author_facet 55569716800
Dzulkifly S.
Aris H.
Janahiraman T.V.
format Conference Paper
author Dzulkifly S.
Aris H.
Janahiraman T.V.
spellingShingle Dzulkifly S.
Aris H.
Janahiraman T.V.
Enhanced Continuous Face Recognition Algorithm for Bandwidth Constrained Network in Real Time Application
author_sort Dzulkifly S.
title Enhanced Continuous Face Recognition Algorithm for Bandwidth Constrained Network in Real Time Application
title_short Enhanced Continuous Face Recognition Algorithm for Bandwidth Constrained Network in Real Time Application
title_full Enhanced Continuous Face Recognition Algorithm for Bandwidth Constrained Network in Real Time Application
title_fullStr Enhanced Continuous Face Recognition Algorithm for Bandwidth Constrained Network in Real Time Application
title_full_unstemmed Enhanced Continuous Face Recognition Algorithm for Bandwidth Constrained Network in Real Time Application
title_sort enhanced continuous face recognition algorithm for bandwidth constrained network in real time application
publisher Association for Computing Machinery
publishDate 2023
_version_ 1806428032179634176
score 13.211869

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