• DocumentCode
    594928
  • Title

    Localization and extraction of the four clock-digits using the knowledge of the digital video clock

  • Author

    Xinguo Yu

  • Author_Institution
    Nat. Eng. Res. Center for E-Learning, Central China Normal Univ., Wuhan, China
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    1217
  • Lastpage
    1220
  • Abstract
    This paper presents a novel algorithm for localizing and extracting the four clock-digits by using the knowledge of the digital video clock. This algorithm has triple merits compared with the existing ones. First, it is novel and easy implementation. It uses the pixel second-periodicity method. By using this method the algorithm omits the several tedious image processing steps. Second, it is faster than the existing algorithms. Third, it has good performance in both localization and extraction. The good performance is due to that it uses the domain knowledge in acquiring the digits color and in modeling the clock-digits layout. Experimental results show that our algorithm achieves an accuracy of 100% in localizing the four clock-digits at a very low computing cost and extracts the four clock-digits in a high accuracy.
  • Keywords
    clocks; feature extraction; image colour analysis; video signal processing; clock-digit layout modeling; computing cost; digit color; digital video clock; domain knowledge; four-clock digit extraction; four-clock digit localization; pixel second-periodicity method; Accuracy; Algorithm design and analysis; Clocks; Color; Histograms; Image color analysis; Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460357