Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/1843
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dc.contributor.authorParvin, Shahnaj-
dc.contributor.authorIslam, Dr. Ezharul-
dc.contributor.authorRozario, Liton J.-
dc.date.accessioned2023-11-12T12:21:13Z-
dc.date.available2023-11-12T12:21:13Z-
dc.date.issued2021-03-17-
dc.identifier.urihttp://dspace.aiub.edu:8080/jspui/handle/123456789/1843-
dc.description.abstractVehicle number plate detection and recognition is an integral part of the Intelligent Transport System (ITS) as every vehicle has a number plate as part of its identity. The quantity of vehicles on road is growing in the modern age, so numerous crimes are also increasing day by day. Almost every day the news of missing vehicles and accidents are perceived. Vehicles tracking is often required to investigate all these illegal activities. So, vehicle number plate identification, as well as recognition, is an active field of study. However, vehicle number plate identification has always been a challenging task for some reasons, for example, brightness changes, vehicle shadows, and non-uniform license plate character type, various styles, and environment color effects. In this review work, various state-of-the-art vehicle number plate detection, as well as recognition strategies, have been outlined on how researchers have experimented with these techniques, which methods have been developed or used, what datasets have been focused on, what kinds of characters have been recognized and how much progress have been achieved. Hopefully, for future research, this review would be very useful.en_US
dc.publisherASTESen_US
dc.relation.ispartofseriesVolume 06 (02);ASTESJ_060249-
dc.subjectNumber plate detectionen_US
dc.subjectNumber plate recognitionen_US
dc.subjectOptical Character Recognitionen_US
dc.subjectYou Only Look Once (YOLO)en_US
dc.subjectConvolutional Neural Networken_US
dc.subjectVehicle detectionen_US
dc.titleVehicle Number Plate Detection and Recognition Techniques: A Reviewen_US
dc.typeArticleen_US
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