Study for License Plate Detection

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Mie Mie Aung 1,* Phyu Phyu Khaing 2 Myint San 1

1. University of Computer Studies (Monywa), Myanmar

2. Myanmar Institute of Information Technology, Mandalay, Myanmar

* Corresponding author.


Received: 15 Sep. 2019 / Revised: 3 Oct. 2019 / Accepted: 24 Oct. 2019 / Published: 8 Dec. 2019

Index Terms

License plate detection, image processing, edge detection algorithm, morphological operations, adaptive thresholding algorithm


License Plate Detection (LPD) system is the application of computer vision and image processing technology. LPD system is the first and main step of License Plate Recognition (LPR) system. So, it performs as the main driver of the LPR system. License plate detection step is always performed in front of the license plate recognition step. LPD system takes the vehicle images as input, follows with the general steps: such as reprocessing, localization, region extraction, and region detection, and the detected image are the output of the system. There are many algorithms for LPD while detecting a license plate in different conditions is still a complex task. For the LPD system, morphological operation and deep learning model are mostly used. This paper presents the critical study of the license plate detection system and also examines the implementation of new technologies of the license plate detection system.

Cite This Paper

Mie Mie Aung, Phyu Phyu Khaing, Myint San, " Study for License Plate Detection", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.11, No.12, pp. 39-46, 2019. DOI: 10.5815/ijigsp.2019.12.05


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