Traffic Sign Recognition System Using CNN

Traffic sign recognition is an important part of the intelligent transportation system and has important application prospects in driverless vehicles and driver assistance systems. In the image recognition of traffic signs, according to the image features of traffic signs, the common methods include traditional template matching method, SVM method, random forest and the best Convolutional Neural Networks (CNN) method. Traffic sign recognition system (TSRS) is a significant portion of intelligent transportation system (ITS). Being able to identify traffic signs accurately and effectively can improve the driving safety. Our project will brings forward a traffic sign recognition technique on the strength of deep learning, which mainly aims at the detection and classification of different types of signs.