Vehicle plate number localization using a modified GrabCut algorithm

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dc.contributor.authorSalau AO
dc.contributor.authorYesufu TK
dc.contributor.authorOgundare BS
dc.date.accessioned2022-07-25T22:17:47Z
dc.date.available2022-07-25T22:17:47Z
dc.date.issued2021
dc.descriptionJournal of King Saud University - Computer and Information Sciences
dc.description.abstractVehicle plate number recognition plays an important role in traffic control and surveillance systems. A key stage in any vehicle plate number recognition system is to first locate the vehicle plate number. In this paper, we present a modified GrabCut algorithm for localizing vehicle plate numbers. In contrast with the traditional interactive GrabCut technique, a modified GrabCut algorithm was designed to identify and extract vehicle plate numbers in a completely automatic manner. Our approach extends the use of the traditional GrabCut algorithm with addition of a feature extraction method which uses geometric information to give accurate foreground extraction. Finally, to evaluate the performance of the proposed technique, the localization accuracy is tested with a dataset of 500 vehicle images with vehicle plates from different countries. An accuracy of 99.8% was achieved for the localization of vehicle plates. Comparative analysis is also reported.
dc.identifier.citation10.1016/j.jksuci.2019.01.011
dc.identifier.issn1319-1578
dc.identifier.urihttps://nerd.ethesis.ng/handle/123456789/232
dc.language.isoen
dc.subjectVehicle plate number
dc.subjectLicense plate (LP)
dc.subjectLocalization
dc.subjectGrabCut
dc.subjectAspect ratio
dc.subjectGraph-cut
dc.titleVehicle plate number localization using a modified GrabCut algorithm
dc.typeArticle
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