• DocumentCode
    3539260
  • Title

    Sign language recognition system

  • Author

    Pankajakshan, Priyanka C. ; Thilagavathi, B.

  • Author_Institution
    Dept. of EIE, Karunya Univ., Coimbatore, India
  • fYear
    2015
  • fDate
    19-20 March 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Sign language is the preferred method of communication among the deaf and the hearing impaired people all over the world. Recognition of sign language can have varying degree of success when used in a computer vision or any other methods. Sign language is said to have a structured set of gestures in which each gesture is having a specific meaning.
  • Keywords
    handicapped aids; sign language recognition; deaf people; gesture recognition; hearing impaired people; sign language recognition system; Artificial neural networks; Assistive technology; Cameras; Feature extraction; Gesture recognition; Image edge detection; Image segmentation; classification; neural networks; sign language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6817-6
  • Type

    conf

  • DOI
    10.1109/ICIIECS.2015.7192910
  • Filename
    7192910