24 November 2014 Robust and fast license plate detection based on the fusion of color and edge feature
Author Affiliations +
Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93012Z (2014) https://doi.org/10.1117/12.2073106
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China
Abstract
Extracting a license plate is an important stage in automatic vehicle identification. The degradation of images and the computation intense make this task difficult. In this paper, a robust and fast license plate detection based on the fusion of color and edge feature is proposed. Based on the dichromatic reflection model, two new color ratios computed from the RGB color model are introduced and proved to be two color invariants. The global color feature extracted by the new color invariants improves the method’s robustness. The local Sobel edge feature guarantees the method’s accuracy. In the experiment, the detection performance is good. The detection results show that this paper’s method is robust to the illumination, object geometry and the disturbance around the license plates. The method can also detect license plates when the color of the car body is the same as the color of the plates. The processing time for image size of 1000x1000 by pixels is nearly 0.2s. Based on the comparison, the performance of the new ratios is comparable to the common used HSI color model.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
De Cai, De Cai, Zhonghan Shi, Zhonghan Shi, Jin Liu, Jin Liu, Chuanping Hu, Chuanping Hu, Lin Mei, Lin Mei, Li Qi, Li Qi, } "Robust and fast license plate detection based on the fusion of color and edge feature", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93012Z (24 November 2014); doi: 10.1117/12.2073106; https://doi.org/10.1117/12.2073106
PROCEEDINGS
8 PAGES


SHARE
Back to Top