查询结果： 徐家伟，张重阳．面向无人驾驶的高速公路指路标志字符检测[J]．计算机应用与软件，2018，35(2)：224 - 229,266．
CHARACTER DETECTION OF HIGHWAY GUIDE SIGNS FOR UNMANNED DRIVING
南京理工大学计算机科学与工程学院 江苏 南京 210094
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094,Jiangsu,China
Highway guide signs
Support vector machines
For the requirement of unmanned driving to obtain the visual information of expressway road in real time, a method for detecting the character of expressway sign was proposed. By using the color and the geometric features, the method obtained the highway guide sign plate and detected the character with the sign board. The steps of detecting characters were as follows. First, the binary image was obtained by the binarization method. The inclined sign was corrected by the correction method and the binary image was filtered. Secondly, the character block was obtained by using the multi-level projection strategy for the binary image, and the associated character blocks were merged according to the layout to get the character area. Finally, the HOG feature of the character area was extracted, and the pseudo target character area was removed by the support vector machine. The results of experiment indicated that recall rate of character detection exceeded 97%, and precision rate was more than 96%.