2024-03-29T15:38:28Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/990
2021-12-13T00:38:33Z
1582963739756:1582967238313
user-um
Detection and Recognition of Myanmar Characters from the Dissimilar Images
Ohnmar Khin
Phothisonothai, Montri
Choomchuay, Somsak
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.
2018
http://hdl.handle.net/20.500.12678/0000000990
https://meral.edu.mm/records/990