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License plate recognition for campus auto-gate system

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dc.citedby6
dc.contributor.authorYaacob N.L.en_US
dc.contributor.authorAlkahtani A.A.en_US
dc.contributor.authorNoman F.M.en_US
dc.contributor.authorZuhdi A.W.M.en_US
dc.contributor.authorHabeeb D.en_US
dc.contributor.authorid57219416293en_US
dc.contributor.authorid55646765500en_US
dc.contributor.authorid55327881300en_US
dc.contributor.authorid56589966300en_US
dc.contributor.authorid57219414936en_US
dc.date.accessioned2023-05-29T09:12:46Z
dc.date.available2023-05-29T09:12:46Z
dc.date.issued2021
dc.description.abstractAutomatic licence plate recognition (LPR) has been a subject of study for the last few decades. Considering the recent advancements in machine learning methods and portable devices, this increasingly attracting researchers� interest to provide more reliable LPR systems. Several LPR techniques have been reported in the literature in different intelligent transportation applications and surveillance systems, and yet a ropust LPR system remains a challenging research task. Because the performance of current techniques is subject to several factors and local conditions, this paper aims to explore the use of LPR in a specific application; i.e. Automatic plate recognition to monitor the entry and exit of vehicles at the university campus gates. Implementing an auto-gate system is an important application for a smooth control of flowing traffic especially during peak hours. We propose an automated system with the ability to capture, verify and recognize the license plates using image processing-based techniques. The system is aimed to work alongside existing access cards and other gate remote controls. Experimental evaluation of the system reveals a detection accuracy of 91.58%, a successful plate number segmentation rate of 91% and 80% accuracy of plate recognition. � 2021 Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/ijeecs.v21.i1.pp128-136
dc.identifier.epage136
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85092669432
dc.identifier.spage128
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85092669432&doi=10.11591%2fijeecs.v21.i1.pp128-136&partnerID=40&md5=89945bcfe2504f3e4cf6632fdbac899f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26612
dc.identifier.volume21
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleIndonesian Journal of Electrical Engineering and Computer Science
dc.titleLicense plate recognition for campus auto-gate systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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