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Vehicle Number Plate Detection using Corner Information  

Kim, Jin-Uk (경상대학교 제어계측공학과 비전연구설)
Park, Joong-Jo (경상대학교 제어계측공학과, ERI)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.13, no.4, 2012 , pp. 173-179 More about this Journal
Abstract
In this paper, we presents a new method for vehicle number plate detection. Our method is basically the method extracting a rectangles from a car image because the shape of a vehicle number plate is a rectangle. For detecting the vehicle number plate, firstly, the contrast of the input image is enhanced. Then, the lines in the image are obtained by using LSD(line segment detector), and rectangles in the image are detected from the line data. These rectangles are the candidates of the car plate, from which the car plate is selected. In this procedure, the method of detecting rectangles is our proposed method, which consists of three stages: (1) extracting corners from the line segments by LSD; (2) extracting diagonal lines from the corner data; and (3) detecting rectangles from diagonal line information. And finally the vehicle number plate is selected from these rectangles by using the feature of the vehicle number plate and the inside information of rectangles. In the experiments with the 100 images captured by our digital camera, we have achieved a detection rate of 94%.
Keywords
LSD; corner; diagonal line; rectangle; vehicle number plate detection;
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