Fast recognition method of pedestrian signs based on colour features and SVM

In order to overcome the problems of low recognition efficiency and poor recognition accuracy in traditional recognition methods of pedestrian signs, a fast recognition method of pedestrian signs based on colour features and SVM is proposed. Firstly, the median filter is used to filter the salt and pepper noise in the image, and the RGB image of the sidewalk indicator is converted into HSV image. Secondly, two morphological processing methods, expansion and corrosion, are used to obtain the colour features of the sidewalk indicator image. Finally, SVM is used to classify the image of sidewalk indicator signs, construct the loss function of sidewalk indicator sign image recognition and solve it to get the final image recognition result. The experimental results show that the recognition algorithm in this paper can achieve 98.2% recognition accuracy, and the recognition time is always less than 5 s.