Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/394942
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMarwan D. Saleh-
dc.contributor.authorH. Mellah-
dc.contributor.authorAhmed Mueen. N. D. Salih-
dc.date.accessioned2023-06-15T07:52:33Z-
dc.date.available2023-06-15T07:52:33Z-
dc.identifier.otherukmvital:122436-
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/394942-
dc.description.abstractLicense Plate Recognition (LPR) is a machine vision technology used to identify vehicles by their license plates without direct human intervention. This paper presents an efficient license plate extraction method which is mainly designed for Malaysian license plates recognition. Besides, it can be readily extended to cope with license plates of other countries, especially those using Latin characters. Our method is capable of extracting license plates in a concise manner, it works well on different types of Malaysian license plates and fast enough to be used in real-time. The method has been tested over a large number of images in order to analyze its performance. The test results, demonstrate that the proposed method is efficient to be used for the license plate recognition system.-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE),Piscataway, US-
dc.subjectVehicle license plate-
dc.subjectLicense Plate Recognition-
dc.subjectLicense plate extraction-
dc.titleAn efficient method for vehicle license plate extraction-
dc.typeSeminar Papers-
dc.format.pages5-
dc.identifier.callnoT58.5.C634 2008 kat sem j.2-
dc.contributor.conferencenameInternational Symposium on Information Technology-
dc.coverage.conferencelocationKuala Lumpur Convention Centre-
dc.date.conferencedate26/08/2008-
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.