Research on Road Traffic Sign Recognition Based on Video Image
The frequent occurrence of road congestion and traffic accidents has affected people's travel efficiency and travel safety. Traffic sign recognition has become one of the key research objects in intelligent transportation system. This paper studies the identification of road traffic signs based on video images. First of all, collected image will be image preprocessing with image reduction, brightness adjustment, filtering. Secondly, the traffic signs are segmented by means of area filtering and morphological processing based on color and shape features. The method of feature extraction of traffic signs is studied to train traffic sign samples. According to the characteristics of many kinds of traffic signs, select linear kernel function and combine one to one SVM classifier to classify traffic signs. Finally, the traffic signs are identified based on Matlab software. The results show that the traffic signs can be accurately identified.
2017 10th International Conference on Intelligent Computation Technology and Automation (ICICTA)