License Plate Detection of Myanmar Vehicle Images Captured from the Dissimilar Environmental Conditions

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dc.contributor.authorKhin, Ohnmar
dc.contributor.authorPhothisonothai, Montri
dc.contributor.authorChoomchuay, Somsak
dc.date.accessioned2026-08-06T10:20:13Z
dc.date.available2026-08-06T10:20:13Z
dc.date.issued2018-06-21
dc.description.abstractDue to the difficulty in defecting the images, in this paper, we proposed the method that can detect region of interest of the license plate for Myanmar vehicles captured from the dissimilar environmental conditions, e.g., different type of license plates, angle of image capturing, and real environmental conditions. In this paper, the horizontal and vertical dilation, skew angle detec-tion and automatic bounding box were proposed to detect the license number from input images. In our experiment, the ob-tained results showed that an average detection accuracy of 99% which was substantially applied for the license plate detection from the dissimilar environmental conditions.
dc.identifier.citationProceedings 2017 International Conference on Advanced Computing and Applications Acomp 2017, 127-132, 2018
dc.identifier.doi10.1109/ACOMP.2017.31
dc.identifier.other2-s2.0-85050546202
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/8647
dc.sourceProceedings 2017 International Conference on Advanced Computing and Applications Acomp 2017
dc.subjectBounding box
dc.subjectCar license plate recognition (CLPR)
dc.subjectHorizontal and vertical dilation
dc.subjectLicense plate detection
dc.subjectMyanmar license plate
dc.subjectSkew angle detection
dc.titleLicense Plate Detection of Myanmar Vehicle Images Captured from the Dissimilar Environmental Conditions
dc.typeConference Paper

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