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dc.contributor.authorZhai, X.
dc.contributor.authorBensaali, F.
dc.contributor.authorRamalingam, S.
dc.date.accessioned2012-12-11T10:59:44Z
dc.date.available2012-12-11T10:59:44Z
dc.date.issued2010
dc.identifier.citationZhai , X , Bensaali , F & Ramalingam , S 2010 , License plate localisation based on morphological operations . in Procs of the 11th Int Conf on Control Automation Robotics and Vision (ICARCV) . IEEE , pp. 1128-1132 . https://doi.org/10.1109/ICARCV.2010.5707933
dc.identifier.isbn978-1-4244-7814-9
dc.identifier.otherPURE: 111655
dc.identifier.otherPURE UUID: 400c49dd-bf41-4c3c-b7b5-1d0d51ddc7a2
dc.identifier.otherdspace: 2299/5759
dc.identifier.otherScopus: 79952387925
dc.identifier.urihttp://hdl.handle.net/2299/9355
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dc.description.abstractAutomatic Number Plate Recognition (ANPR) systems allow users to track, identify and monitor moving vehicles by automatically extracting their number plates. This paper presents an improved method to locate car plates in an ANPR system. The proposed method is based on morphological open and close operations where different Structuring Elements (SE) are used to maximally eliminate non-plate region and enhance plate region. This method has been tested using a database of UK number plates and results achieved have shown significant improvements in terms of the detection rate compare to other existing plate localisation systems.en
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofProcs of the 11th Int Conf on Control Automation Robotics and Vision (ICARCV)
dc.subjectnumber plate localisation
dc.subjectANPR
dc.subjectmorphological operation
dc.titleLicense plate localisation based on morphological operationsen
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionScience & Technology Research Institute
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=79952387925&partnerID=8YFLogxK
rioxxterms.versionofrecordhttps://doi.org/10.1109/ICARCV.2010.5707933
rioxxterms.typeOther


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