Abstract: To solve the problem of multi-license plate location in road bayonet image, a novel approach was presented, which utilized plate’s color features, geometry characteristics and gray feature. Firstly, the RGB color image was converted to HSV color model and calculates the distance according to the plate’s color information in the color space. Secondly, the license plate candidate regions were segmented by binary and morphological processing. Finally, based on the plate’s geometry characteristics and gray feature, the license plate regions were segmented by and validated. In a certain degree, the method wasn’t limited the plate’s type, size, number, the location of the car and the background in the picture. It was tested using the road bayonet image.(Abstract)

Ying Qian and Zhi Li, “A Method of Multi-License Plate Location in Road Bayonet Image” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(4), 2015. http://dx.doi.org/10.14569/IJARAI.2015.040404

@article{Qian2015,
title = {A Method of Multi-License Plate Location in Road Bayonet Image},
journal = {International Journal of Advanced Research in Artificial Intelligence}
doi = {10.14569/IJARAI.2015.040404},
url = {http://dx.doi.org/10.14569/IJARAI.2015.040404},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {4},
author = {Ying Qian and Zhi Li},
}