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Proceedings Paper

The research based on intelligent night-time elimination of "red explosion" and "white explosion" vehicle license plate capturing and identifying system
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Paper Abstract

At night, high-speed road/all levels of road electronic cameras need to pass the white light flash can be used to obtain the road vehicle license plate and car appearance and the other related information, in order to solve the problems of the drivers’ short dazzle caused by the flash of the camera, this paper shows a novel method to eliminate the "red explosion" and "white explosion" dazzle vehicle license plate capture and recognition system. This paper is based on the inconsistent principle of the absorption characteristics of the reflective film layer dye in the overlapping reflection process of the multispectral spectrums. The relationship between the wavelength of the reflective film and the back layer dye in different wavelength and the absorption/reflection is analyzed, and a dual-band active illumination method is developed. The system utilizes the visual features of human eyes in the sensitive insensitive area near infrared 390 nm~810 nm band, combining the enhanced Hough and Canny operator to preprocess the captured images, effectively obtains the license information of the fast moving vehicle at night or low illumination, and accurately locates the vehicle contour features, The high contour gray color rendering with the wavelet and Fourier filtering is used to distinguish the authenticity of the license plate quickly. To achieve the rapid statistics on the number of vehicles and containers on ground mobile vehicles and logistics sites, and provide a reliable technical guarantee for road security, because of its small weight and high intelligence, it’s suitable for a variety of loading installations, and has a wide application foreground in the future.

Paper Details

Date Published: 5 March 2018
PDF: 13 pages
Proc. SPIE 10710, Young Scientists Forum 2017, 107100F (5 March 2018); doi: 10.1117/12.2316993
Show Author Affiliations
Tian-Yu Ren, Changchun Univ. of Science and Technology (China)
Qing-Duo Duanmu, Changchun Univ. of Science and Technology (China)
Jing Liu, Jilin Normal Univ. (China)
Bo-Qi Wu, Jilin Jianzhu Univ. (China)

Published in SPIE Proceedings Vol. 10710:
Young Scientists Forum 2017
Songlin Zhuang; Junhao Chu; Jian-Wei Pan, Editor(s)

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