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  1. University of Mandalay
  2. Department of Computer Science

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

http://hdl.handle.net/20.500.12678/0000000741
http://hdl.handle.net/20.500.12678/0000000741
47006f6e-42d4-4e41-94e3-8e94fe47b9e5
44bc8bed-5d3d-458c-ad70-873e9b87cf55
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License License Plate Detection of Myanmar Vehicle Images.pdf (683 Kb)
Publication type
Conference paper
Upload type
Publication
Title
Title License Plate Detection of Myanmar Vehicle Images Captured from the Dissimilar Environmental Conditions
Language en
Publication date 2017
Authors
Ohnmar Khin
Phothisonothai, Montri
Choomchuay, Somsak
Description
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.
Keywords
License plate detection
Identifier https://umoar.mu.edu.mm/handle/123456789/316
Journal articles
International Conference on Advanced Computing and Applications, King Mongkut's Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand
Conference papaers
Books/reports/chapters
Thesis/dissertations
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