Traffic Sign Recognition Based on Deep Learning Technique

Abstract

Traffic sign recognition plays a significant role in intelligent transportation system. Therefore, in this paper, I propose a traffic sign recognition algorithm based on Convolutional Neural Network (CNN). The dataset collected to train and test in experiments is the “German Traffic Sign Recognition Benchmark” (GTSRB). In addition, the CNN model is evaluated by comparing with a Deep Neural Network (DNN) model based on the accuracy rate and loss rate. Finally, the result shows the proposed CNN model yields high accuracy rate on both training and test images.