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

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dc.contributor.authorDzulkifly S.en_US
dc.contributor.authorAris H.en_US
dc.contributor.authorJanahiraman T.V.en_US
dc.contributor.authorid55569716800en_US
dc.contributor.authorid13608397500en_US
dc.contributor.authorid57215350701en_US
dc.date.accessioned2023-05-29T08:10:40Z
dc.date.available2023-05-29T08:10:40Z
dc.date.issued2020
dc.descriptionBandwidth; Biometrics; Bandwidth-constrained; Biometric recognition; Different resolutions; Face recognition algorithms; Krawtchouk moment; Network bandwidth; Real-time application; Face recognitionen_US
dc.description.abstractCurrent 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1145/3386762.3386778
dc.identifier.epage135
dc.identifier.scopus2-s2.0-85086267940
dc.identifier.spage131
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85086267940&doi=10.1145%2f3386762.3386778&partnerID=40&md5=d0d74249326aa4b6e42a6352119d53b4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25541
dc.publisherAssociation for Computing Machineryen_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleACM International Conference Proceeding Series
dc.titleEnhanced Continuous Face Recognition Algorithm for Bandwidth Constrained Network in Real Time Applicationen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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