• DocumentCode
    916835
  • Title

    Gabor-based kernel PCA for palmprint recognition

  • Author

    Ekinci, M. ; Aykut, M.

  • Author_Institution
    Karadeniz Tech. Univ., Trabzon
  • Volume
    43
  • Issue
    20
  • fYear
    2007
  • Firstpage
    1077
  • Lastpage
    1079
  • Abstract
    A novel Gabor-based kernel principal component analysis (PCA) method by integrating the Gabor wavelet representation of palm images and the kernel PCA method for palmprint recognition is proposed. The feasibility of the proposed method has been successfully tested on two different public data sets from the PolyU palmprint databases, for which the samples were collected in two different sessions.
  • Keywords
    biometrics (access control); image recognition; principal component analysis; Gabor wavelet representation; palmprint recognition; principal component analysis; public data sets;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20071688
  • Filename
    4338193
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=916835