Md. Mostafa Kamal Sarker
Real-time vehicle license plate detection based on background subtraction and cascade of boosted classifiers.
Sarker, Md. Mostafa Kamal; Song, Moon Kyou
Moon Kyou Song
License plate (LP) detection is the most imperative part of an automatic LP recognition (LPR) system. Typical LPR contains two steps, namely LP detection (LPD) and character recognition. In this paper, we propose an efficient Vehicle-to-LP detection framework which combines with an adaptive GMM (Gaussian Mixture Model) and a cascade of boosted classifiers to make a faster vehicle LP detector. To develop a background model by using a GMM is possible in the circumstance of a fixed camera and extracts the motions using background subtraction. Firstly, an adaptive GMM is used to find the region of interest (ROI) on which motion detectors are running to detect the vehicle area as blobs ROIs. Secondly, a cascade of boosted classifiers is executed on the blobs ROIs to detect a LP. The experimental results on our test video with the resolution of 720×576 show that the LPD rate of the proposed system is 99.14% and the average computational time is approximately 42ms.
SARKER, M.M. and SONG, M.K. 2014. Real-time vehicle license plate detection based on background subtraction and cascade of boosted classifiers. Journal of Korean Institute of Communications and Information Sciences [online], 39C(10), pages 909-919. Available from: https://doi.org/10.7840/kics.2014.39c.10.909
|Journal Article Type||Article|
|Acceptance Date||Sep 3, 2014|
|Online Publication Date||Oct 31, 2014|
|Publication Date||Oct 31, 2014|
|Deposit Date||Dec 4, 2021|
|Publicly Available Date||Aug 26, 2022|
|Journal||Journal of Korean Institute of Communications and Information Sciences|
|Publisher||Korean Institute of Communications and Information Sciences (KICS)|
|Peer Reviewed||Peer Reviewed|
|Keywords||License plate detection; Adaptive Guassian mixture model; Region of interest; Background subtraction; Cascade of boosted classifier|
SARKER 2014 Real-time vehicle license plate
© Korean Institute of Communications and Information Sciences (KICS).
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