Thai License Plate Detection from a Video Frame

dc.contributor.authorNuchakarn Anawatmongkonen_US
dc.contributor.authorChomtip Pornpanomchaien_US
dc.contributor.authorชมทิพ พรพนมชัยen_US
dc.contributor.otherMahidol University. Faculty of Information And Communication Technology. Computer Science Academic Groupen_US
dc.date.accessioned2018-04-03T03:39:49Z
dc.date.available2018-04-03T03:39:49Z
dc.date.created2018-04-03
dc.date.issued2009
dc.descriptionGlobal Congress on Intelligent Systems (GCIS), 2009 WRI
dc.description.abstractLicense plate detection and recognition system (LPDR) is applicable to wide range of uses such as highway toll collection, traffic management, and many more. One of the problems of this application is finding the position of license plate from cars because many cars have difference in uncertain positions of license plates and unclean license plates. The purpose of this project is to assess the efficiency of simple algorithm, applied to find the position of license plates from a video frame. This research can detect a license plate from the front or the rear of a car.The program in this project allows users to capture the picture from the video file and then the program will create the screenshot. Lastly, the program will detect the license plate position of that screenshot. The image captured by our program will appear in the .jpg file format. The accuracy of this project is around 82% for a video screenshot image, and 92% for a digital camera image.en_US
dc.identifier.doi10.1109/GCIS.2009.202
dc.identifier.isbn9780769535715
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/10455
dc.language.isoengen_US
dc.rightsMahidol Universityen_US
dc.rights.holderIEEE Xploreen_US
dc.subjectLicensesen_US
dc.subjectRoad transportationen_US
dc.subjectHumansen_US
dc.subjectSecurityen_US
dc.subjectComputer scienceen_US
dc.subjectApplication softwareen_US
dc.subjectDigital camerasen_US
dc.subjectCircuits,en_US
dc.titleThai License Plate Detection from a Video Frameen_US
dc.typeProceeding Articleen_US

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