车载视频图像路牌检测与字符序列识别方法

The problem of vehicle location in GPS denied environments can be solved with the video images positioning method, which detects the highway distance posts and recognizes characters to obtain their geographic information through information retrieval. In this paper, resulting from few types of distance posts, it puts forward S-YOLOv3（simplified YOLOv3）to calculate more fastly. In order to improve the accuracy of character recognition, it proposes HPCC-YOLOv3 （high precision character classification YOLOv3）. S-YOLOv3 and HPCC-YOLOv3 are trained and tested respectively. Characters are clustered according to position in kilometer posts and hectometer posts to realize character recognition. An images acquisition, highway distance posts detection and character recognition system composed of the Daheng mercury camera and a computer is designed. With images acquired from Daheng mercury camera in the experimental car, it gets the results showing that the system performs well, which can effectively improve the speed of highway distance posts detection and the accuracy of character recognition in video images.