Paper
8 December 2011 A new method for fast vehicle license plate detection
Han Zheng, Jin Liu, Lei Xie
Author Affiliations +
Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 80030W (2011) https://doi.org/10.1117/12.901984
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
This paper concerns the problem of fast vehicle license plate location. A new method has been proposed for locating the vehicle license plate in the color image with a high speed. The color image is transformed into HSV color space and each single channel image is operated by different operations such as image equalization, image binary and so on. Then the results of each channel image is integrated, and a mathematical morphology method together with image smoothing, image filtering and contour extraction are used to get the candidate vehicle license plate. Finally, a minimum rectangle enclosing the extracted contour is obtained, and affine transformation is done to the rectangle. The experimental results of more than 140 images collected demonstrated that the accuracy of detection is 95.21%, and the average time cost for each image is about 50 milliseconds.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Han Zheng, Jin Liu, and Lei Xie "A new method for fast vehicle license plate detection", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030W (8 December 2011); https://doi.org/10.1117/12.901984
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KEYWORDS
Image filtering

RGB color model

Image segmentation

Mathematical morphology

Binary data

Digital filtering

Image restoration

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