• DocumentCode
    2863378
  • Title

    Auto Palmprint Segmentation and Sobel Based Detection for Personal Idenfication

  • Author

    Yang, Shunyu

  • Author_Institution
    Sch. of Inf. Eng., Hubei Univ. for Nat., Enshi, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    332
  • Lastpage
    335
  • Abstract
    A new algorithm for palm segmentation for personal identification to process real time hand-palm images is presented in this paper. The suggested approach is based on characteristics of human hand palms in an image after certain processing for the quick identification. The segmentation step follows the hand palm real time extraction from sequenced images or videos. The achieved results will give a rigid presentation that the auto palm print segmentation can satisfy the real time personal identification we need.
  • Keywords
    feature extraction; image segmentation; image sequences; palmprint recognition; video signal processing; Sobel based detection; auto palmprint segmentation; hand palm real time extraction; hand-palm image processing; image sequence; personal idenfication; video sequence; Humans; Image color analysis; Image edge detection; Image segmentation; Real time systems; Skin; Videos; auto-segmentation; palm print; personal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on
  • Conference_Location
    Shenzhan
  • Print_ISBN
    978-1-4577-1219-7
  • Type

    conf

  • DOI
    10.1109/IBICA.2011.88
  • Filename
    6118778