• DocumentCode
    2134481
  • Title

    Research on Recognition Methods for Traffic Signs

  • Author

    Zhenghe, Song ; Bo, Zhao ; Zhongxiang, Zhu ; Meng, Wang ; Enrong, Mao

  • Author_Institution
    China Agric. Univ., Beijing, China
  • Volume
    1
  • fYear
    2008
  • fDate
    13-15 Dec. 2008
  • Firstpage
    387
  • Lastpage
    390
  • Abstract
    In order to insure safety of driving vehicle in the driver assistance system and effective navigation in the automatic driving system, a new recognition method based on the neural network and the invariant moments for traffic signs was proposed in this paper. Firstly, the area of the traffic sign was located from the complicated image background. Secondly, the features of each traffic sign were obtained by Hu invariant moments. Finally, the traffic signs were recognized by the BP neural network. Experimental results proved that the recognition method can be used for fast and efficient recognition of the traffic signs with high accuracy. This research can provide technological supports to the autonomous vehicles and the vehicle safety driving assistance.
  • Keywords
    automobiles; backpropagation; driver information systems; image recognition; method of moments; neural nets; road safety; road traffic; BP neural network; Hu invariant moments; automatic driving system; automobile; backpropagation; complicated image background; driver assistance system; recognition methods; traffic signs; vehicle safety; Color; Graphics; Image recognition; Intelligent transportation systems; Navigation; Neural networks; Telecommunication traffic; Traffic control; Vehicle driving; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Generation Communication and Networking, 2008. FGCN '08. Second International Conference on
  • Conference_Location
    Hainan Island
  • Print_ISBN
    978-0-7695-3431-2
  • Type

    conf

  • DOI
    10.1109/FGCN.2008.16
  • Filename
    4734127