• DocumentCode
    672197
  • Title

    Saudi riyal coin detection and recognition

  • Author

    Hassoubah, Rawan S. ; Aljebry, Amel F. ; Elrefaei, Lamiaa A.

  • Author_Institution
    Fac. of Comput. & Inf. Technol., King Abdulaziz Univ., Jeddah, Saudi Arabia
  • fYear
    2013
  • fDate
    9-11 Dec. 2013
  • Firstpage
    62
  • Lastpage
    66
  • Abstract
    Coin detection and recognition applications play an important role in computer vision and in industry. Many applications have been developed to detect coins and estimate its corresponding values either by camera picture or mobile devices. This paper proposes a system that uses number of computer vision techniques to detect and recognize coins applied to Saudi riyal currency and returns its estimated values. The main goal goes around differentiating between different division of the same currency.
  • Keywords
    Hough transforms; computer vision; edge detection; image segmentation; object detection; object recognition; Saudi Riyal coin detection; Saudi Riyal coin recognition; Saudi riyal currency; camera picture; circular Hough transform; computer vision techniques; edge detection; image thresholding; mobile devices; Computer vision; Conferences; Equations; Image color analysis; Image edge detection; Transforms; circular hough transform; coin detection; coin recognition; computer vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Information Processing (ICIIP), 2013 IEEE Second International Conference on
  • Conference_Location
    Shimla
  • Print_ISBN
    978-1-4673-6099-9
  • Type

    conf

  • DOI
    10.1109/ICIIP.2013.6707556
  • Filename
    6707556