• DocumentCode
    1963568
  • Title

    Application of affine transformation in traffic sign detection

  • Author

    Zuo, Dandan ; Liu, Xin ; Zhu, Shuangdong

  • Author_Institution
    Ningbo Univ., Ningbo, China
  • fYear
    2010
  • fDate
    13-15 Aug. 2010
  • Firstpage
    277
  • Lastpage
    280
  • Abstract
    The main goal of traffic sign recognition system (STR) is the detection and recognition of every traffic sign present in the scene. One of the most used approaches for image detection is the shape-based approach. In this paper, we propose a shape correction algorithm to increase accuracy of traffic detection by using affine transformation. We utilize affine transformation to rectify the shape of traffic signs in the real images. The experimental result shows that the algorithm is a fast and effective method for shape correction.
  • Keywords
    affine transforms; object detection; object recognition; shape recognition; traffic engineering computing; STR; affine transformation; image detection; shape correction algorithm; traffic sign detection; traffic sign recognition system; Image edge detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-7047-1
  • Type

    conf

  • DOI
    10.1109/ICICIP.2010.5565311
  • Filename
    5565311