• DocumentCode
    2551492
  • Title

    Shape-based road sign detection and recognition for embedded application using MATLAB

  • Author

    Sallah, Siti Sarah Md ; Hussin, Fawnizu Azmadi ; Yusoff, Mohd Zuki

  • Author_Institution
    Electr. & Electron. Eng. Dept., Univ. Teknol. Petronas, Tronoh, Malaysia
  • fYear
    2010
  • fDate
    15-17 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we propose a road sign detection and recognition algorithm for an embedded application. The algorithm is based on the Hough transform method to detect lines in order to identify and determine the shape of the road sign. Shape measurements are currently employed to identify the road sign ratios of area and perimeter. The variables are compared with the template library which we have developed. In order to evaluate the accuracy, the proposed algorithm was tested on most of the Malaysian road signs, and the results are reported in this paper. Successful detection and recognition rate is about 83.67%.
  • Keywords
    Hough transforms; mathematics computing; object detection; shape recognition; Hough transform; Matlab; embedded application; shape-based road sign detection; shape-based road sign recognition; Image color analysis; Image recognition; MATLAB; Roads; Shape; Transforms; Hough Transform; Road Sign; Shape Measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent and Advanced Systems (ICIAS), 2010 International Conference on
  • Conference_Location
    Kuala Lumpur, Malaysia
  • Print_ISBN
    978-1-4244-6623-8
  • Type

    conf

  • DOI
    10.1109/ICIAS.2010.5716193
  • Filename
    5716193