• DocumentCode
    2460378
  • Title

    Dice Image Recognition Scheme Using Pattern Comparison Technique

  • Author

    Chen, Wen-Yuan ; Lin, Pei-Jung ; Kuo, Dong-Yi

  • Author_Institution
    Dept. of Electron. Eng., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan
  • fYear
    2012
  • fDate
    4-6 June 2012
  • Firstpage
    128
  • Lastpage
    131
  • Abstract
    In dice recognition, there are several situations which may cause dice image identification problems including that camera zooming in, zooming out, the pip sizes become irregular. In this paper, we adopt a pattern comparison method to develop an intelligent dice pattern match ration that can achieve accurate dice recognition. After over 200 test images that include different shapes, styles, size and colors used in simulations, this scheme is proven to achieve 100% dice image identification.
  • Keywords
    image colour analysis; image matching; shape recognition; dice image identification problems; dice image recognition scheme; intelligent dice pattern match ration; irregular pip sizes; pattern comparison technique; Games; Image color analysis; Image recognition; Noise; Pattern matching; dice games; image comparison; image processing; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Consumer and Control (IS3C), 2012 International Symposium on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-1-4673-0767-3
  • Type

    conf

  • DOI
    10.1109/IS3C.2012.41
  • Filename
    6228264