Paper
19 August 2010 The vehicle license plate location based on mathematical morphology and geometric characteristics
Guangming Li, Zhenqi He, Huilin Zhang
Author Affiliations +
Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78200Y (2010) https://doi.org/10.1117/12.867581
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China
Abstract
Currently, the problems of low accuracy and slow speed in the LPR (license plate recognition) of motor vehicle still exist, while the problem is mainly due to complex interference caused by the surrounding environment. As the collection plate is usually located on the lower portion of the image, this system firstly cut the image from the position of 1 / 2 to obtain the lower part that can effectively reduce the interference information. Then, we orientate license plate accurately through Canny operator edge detection[1] and the geometric ratio features of license plate[6]. Combining these two methods can further remove the interference factors, and ultimately obtain accurate positioning. Finally, the experiment result has proved the method more reliable and faster.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guangming Li, Zhenqi He, and Huilin Zhang "The vehicle license plate location based on mathematical morphology and geometric characteristics", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200Y (19 August 2010); https://doi.org/10.1117/12.867581
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KEYWORDS
Image segmentation

Image processing

Edge detection

Image filtering

MATLAB

Mathematical morphology

Binary data

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