Study on Speed-limit Sign Recognition using Deep learning

نویسندگان

  • Hyun Jae Lee
  • Hyun Gyu Jang
  • Gyu Sang Choi
چکیده

In this article, we propose a method regarding the identification of traffic speed-limit signs from image using camera on vehicle. The speed-limit signs have circle shape and border line is red. The candidate’s images of speed-limit signs extracted by using different features. Then the images have been classified by using the CNN (Convolutional Neural Network) and provide a good result in pattern recognition. The data sets used for the experiment is a GTSRB (German Traffic Sign Recognition Benchmark) having an 8 different types of speedlimit signs. Keywords-component; Speed-limit sign, Hough Transform, SVM, CNN,

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تاریخ انتشار 2016