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Item

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Detection and Recognition of Myanmar Characters from the Dissimilar Images

http://hdl.handle.net/20.500.12678/0000000990
7340fec0-595e-4fa6-8e84-e68cdf34a363
c6474968-0d7e-463f-bce1-9ac1999df169
Publication type
Journal article
Upload type
Publication
Title
Title Detection and Recognition of Myanmar Characters from the Dissimilar Images
Language en
Publication date 2018
Authors
Ohnmar Khin
Phothisonothai, Montri
Choomchuay, Somsak
Description
The impartial of this paper is to spread the
License Plate Recognition for the traffic light
development of Myanmar. In this paper, image
processing toolbox, controlling and take boxes were
proposed to extract the numbers and characters from
the input images. Our method consists of three steps. In
the first step, the input license plate image is increased
by doing some the action or noise modification. Then
the features of the characters are extracted to overcome
the sameness problems of the Myanmar characters.
Finally, neural network is used for the character
recognition. The experiments were carried out on the
dissimilar Myanmar vehicle images and results showed
the efficiency of 93% which was substantially applied
for the license plate detection, letters and numbers
extraction.
Keywords
Image processing toolbox
Identifier https://umoar.mu.edu.mm/handle/123456789/317
Journal articles
2018 10th International Conference on Knowledge and Smart Technology (KST)
Conference papaers
Books/reports/chapters
Thesis/dissertations
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0
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