• DocumentCode
    3625972
  • Title

    Turkish Fingerspelling Recognition with Fast Alignment, Thick Edge Detection and Correlation with Penalization

  • Author

    Oguz Altun;Songul Albayrak

  • Author_Institution
    Yildiz Teknik ?niversitesi Bilgisayar M?hendisli?i B?l?m?. oguz@ce.yildiz.edu.tr
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Fingerspelling is used for words that have no sign, or for words that the sign is unknown. In this work, the signs of Turkish Alphabet are recognized from video images. The methods used are fast alignment, thick edge extraction and correlation with penalization methods. A 99 percent success ratio is achieved.
  • Keywords
    "Image edge detection","Chromium","Image recognition","Gaussian processes"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
  • ISSN
    2165-0608
  • Print_ISBN
    1-4244-0719-2
  • Type

    conf

  • DOI
    10.1109/SIU.2007.4298841
  • Filename
    4298841
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3625972