2026-06-27T12:45:06Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/741 2021-12-13T02:30:34Z 1582963739756:1582967238313 user-um

License Plate Detection of Myanmar Vehicle Images Captured from the Dissimilar Environmental Conditions Ohnmar Khin Phothisonothai, Montri Choomchuay, Somsak Due 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 detection and automatic bounding box were proposed to detect the license number from input images. In our experiment, the obtained results showed that an average detection accuracy of 99% which was substantially applied for the license plate detection from the dissimilar environmental conditions. 2017 http://hdl.handle.net/20.500.12678/0000000741 https://meral.edu.mm/records/741