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Item

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Myanmar Character Extraction from Vehicle Images Using Aspect Ratio and Bounding Box

http://hdl.handle.net/20.500.12678/0000000999
28c3d2b6-2502-45f8-bf43-91f57a518f49
b932df14-0220-4cf4-96e1-383b2aeaa17f
Publication type
Journal article
Upload type
Publication
Title
Title Myanmar Character Extraction from Vehicle Images Using Aspect Ratio and Bounding Box
Language en
Publication date 2018
Authors
Ohnmar Khin
Phothisonothai, Montri
Choomchuay, Somsak
Description
In this paper, we publicize Myanmar character
extraction system using the license plate number as experimental
sample. In recent times, the identification of car license becomes
a popular task because of the increase in the number of vehicles.
To settle this problem, there are a number of techniques in which
aspect ratio and bounding box are the suitable technology. We
also use edge boxes in order to separate the background from the
foreground and accentuate in the foreground. In the
investigation, the Myanmar character are segmented firstly and
then these are extracted precisely. The experimental results
showed that the characters have been correctly extracted by the
accuracy rate of 90%.
Keywords
aspect ratio
Identifier https://umoar.mu.edu.mm/handle/123456789/318
Journal articles
2018 International Workshop on Advanced Image Technology (IWAIT)
Conference papaers
Books/reports/chapters
Thesis/dissertations
0
0
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