Open AccessReal-time License plate number detection based on image contour
Author(s) -
Xingxing Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/3/032073
Subject(s) - computer vision , artificial intelligence , image gradient , license , hsl and hsv , color image , rgb color model , computer science , sobel operator , grayscale , color space , image processing , image (mathematics) , color histogram , binary image , edge detection , feature detection (computer vision) , virus , virology , biology , operating system
The license plate number detection technology is an application of computer video image recognition technology in vehicle license plate recognition. In this paper, an image processing technology is used to extract and detect a license plate in motion from a complex background to a license plate recognition system. The method in this paper is mainly divided into four steps. First, the original image is preprocessed, the color image is converted into a grayscale image, and the gradient edge features are extracted by Sobel operator. Secondly, after the image is binarized, the image generated through the morphological operation of the image to highlight the image outline. Then detect the contour of the entire image and label the contour. Finally, the RGB space is converted into the HSV color space through color space conversion, and the color of the license plate is used to find the area where the license plate is located in the image.