MERAL Myanmar Education Research and Learning Portal
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License Plate Detection of Myanmar Vehicle Images from Dissimilar Angle Conditions
http://hdl.handle.net/20.500.12678/0000000872
http://hdl.handle.net/20.500.12678/00000008728fc0edd1-6ecf-420f-aa8f-9c7470163beb
45d3bb64-9549-4b9c-95d6-144da4c7ea80
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Publication type | ||||||
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Conference paper | ||||||
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Publication | ||||||
Title | ||||||
Title | License Plate Detection of Myanmar Vehicle Images from Dissimilar Angle Conditions | |||||
Language | en | |||||
Publication date | 2017 | |||||
Authors | ||||||
Ohnmar Khin | ||||||
Phothisonothai, Montri | ||||||
Choomchuay, Somsak | ||||||
Description | ||||||
It has been studied that there is no established LPR(License Plate Recognition) to detect and identify the license plates from dissimilar angles. The aim of the paper is to detect the dissimilar angles of the license plate with the non-fixed LPR system. Therefore, the horizontal and vertical dilation, skew angle detection and automatic bounding box have been proposed to detect the license plate. The proposed method has been applied to the four different types of Myanmar license plates, e.g., private cars, taxi, tour buses and religion cars. One car each is taken into four different types of angles on the dissimilar conditions. Experimental result indicated that this method can detect the disparate types of license plates with a high accuracy, i.e., the proposed approach achieved a favorable outcome rate of 97% at 100 license plates. |
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Keywords | ||||||
bounding box | ||||||
Identifier | https://umoar.mu.edu.mm/handle/123456789/315 | |||||
Journal articles | ||||||
21st International Computer Science and Engineering Conference (ICSEC) King Mongkut's Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand | ||||||
Conference papaers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |