Loading...
License Plate Detection of Myanmar Vehicle Images Captured from the Dissimilar Environmental Conditions
Author(s)
Khin, Ohnmar
Phothisonothai, Montri
Choomchuay, Somsak
Date Issued
June 21, 2018
Type
Conference Paper
Abstract
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 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.
Citation
Proceedings 2017 International Conference on Advanced Computing and Applications Acomp 2017, 127-132, 2018