@inproceedings{9cb1252e9b6643738891b25d4b2765e8,
title = "Vehicle color recognition based on license plate color",
abstract = "As a significant feature of vehicle, the color feature plays an important role in the intelligent transportation systems. However, the color feature is easily affected by the variations of the lighting condition. In this paper, we present a new method for vehicle color recognition, which is based on license plate color. The color of license plate is recognized by the prior knowledge and the recognition result of the license plate, which is not sensitive to the variations of lighting condition. We select the vehicle ROI (region of interest) near the license plate, and convert the color space of the plate image and the vehicle ROI image from RGB to HSV. The vehicle color is identified by the relative location of the ROI color and the plate color in the spectrum. We verify the feasibility of our approach through a comparison experiment. Experiment results show that the color of license plate is helpful to recognize the vehicle color.",
keywords = "Color space, HSV, License plate color, Spectrum, Vehicle color recognition",
author = "Yanmei Dong and Mingtao Pei and Xiameng Qin",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 10th International Conference on Computational Intelligence and Security, CIS 2014 ; Conference date: 15-11-2014 Through 16-11-2014",
year = "2015",
month = jan,
day = "20",
doi = "10.1109/CIS.2014.63",
language = "English",
series = "Proceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "264--267",
booktitle = "Proceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014",
address = "United States",
}