21 July 2017 Accurate car plate detection via car face landmark localization
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Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 1042012 (2017) https://doi.org/10.1117/12.2281924
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
Abstract
For intelligent vehicle surveillance systems, it is a big challenge to detect small, blurred car plates of vehicles driving on a highway. In this paper, we present a novel, two-stage detection scheme for small, blurred car-plate detection in large surveillance images. Our proposed scheme firstly detects vehicles, and then locates the car plates in specific regions of detected vehicles based on our proposed car-face landmark localization algorithm. Our scheme can also solve the high false-alarming rate problem with small, blurred car-plate detection. Experimental results show that our proposed method is accurate, and able to reduce the false-alarming rate, without any compromise in speed.
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Hailiang Li, Man-Yau Chiu, Kangheng Wu, Zhibin Lei, Kin-Man Lam, "Accurate car plate detection via car face landmark localization", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042012 (21 July 2017); doi: 10.1117/12.2281924; https://doi.org/10.1117/12.2281924
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