• DocumentCode
    128326
  • Title

    Static hand gestures recognition system using shape based features

  • Author

    Khurana, Garima ; Joshi, Gauri ; Kaur, Jaspinder

  • Author_Institution
    UIET, Panjab Univ., Chandigarh, India
  • fYear
    2014
  • fDate
    6-8 March 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, an easy and a simple approach using shape based features to recognize alphabets of Indian Sign Language (ISL) has been proposed. Geometrical features and Zernike Moments (ZM) of hand shapes are extracted. Covariance and minimum Euclidean Distance are used for recognition of sign. For 19 ISL alphabets, high recognition rate is achieved.
  • Keywords
    shape recognition; sign language recognition; ISL alphabets; Indian Sign Language; ZM; Zernike moments; geometrical features; hand shapes; minimum Euclidean distance; shape based features; static hand gestures recognition system; Accuracy; Assistive technology; Euclidean distance; Feature extraction; Gesture recognition; Image color analysis; Shape; Covariance; Geometrical Features; Minimum Euclidean Distance; Zernike Moments;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering and Computational Sciences (RAECS), 2014 Recent Advances in
  • Conference_Location
    Chandigarh
  • Print_ISBN
    978-1-4799-2290-1
  • Type

    conf

  • DOI
    10.1109/RAECS.2014.6799633
  • Filename
    6799633
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=128326