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Vehicle License Plate Detection in Road Images
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  • Journal title : Journal of KIISE
  • Volume 43, Issue 2,  2016, pp.186-195
  • Publisher : Korean Institute of Information Scientists and Engineers
  • DOI : 10.5626/JOK.2016.43.2.186
 Title & Authors
Vehicle License Plate Detection in Road Images
Lim, Kwangyong; Byun, Hyeran; Choi, Yeongwoo;
This paper proposes a vehicle license plate detection method in real road environments using 8 bit-MCT features and a landmark-based Adaboost method. The proposed method allows identification of the potential license plate region, and generates a saliency map that presents the license plate's location probability based on the Adaboost classification score. The candidate regions whose scores are higher than the given threshold are chosen from the saliency map. Each candidate region is adjusted by the local image variance and verified by the SVM and the histograms of the 8bit-MCT features. The proposed method achieves a detection accuracy of 85% from various road images in Korea and Europe.
license plate detection;modified census transform features;illumination invariance;landmark detection;
 Cited by
NVIDIA Drive PX [online]. Available:

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