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http://dx.doi.org/10.14400/JDC.2017.15.1.239

Long Distance Vehicle License Plate Region Detection Using Low Resolution Feature of License Plate Region in Road View Images  

Oh, Myoung-Kwan (Dept. of Electrical & Electronics Service, Hyejeon College)
Park, Jong-Cheon (Dept. of Computer Engineering, Chungbuk National University)
Publication Information
Journal of Digital Convergence / v.15, no.1, 2017 , pp. 239-245 More about this Journal
Abstract
For privacy protection, we propose a vehicle license plate region detection method in road view image served from portal site. Because vehicle license plate regions in road view images have different feature depending on distance, long distance vehicle license plate regions are not detected by feature of low resolution. Therefore, we suggest a method to detect short distance vehicle license plate regions by edge feature and long distance vehicle license plate regions using MSER feature. And then, we select candidate region of vehicle license plate region from detected region of each method, because the number of the vehicle license plate has a structural feature, we used it to detect the final vehicle license plate region. As the experiment result, we got a recall rate of 93%, precision rate of 75%, and F-Score rate of 80% in various road view images.
Keywords
Road View; License Plate; Scene Number Detection; MSER; Low Resolution Feature;
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Times Cited By KSCI : 19  (Citation Analysis)
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