• DocumentCode
    1300563
  • Title

    Enhanced gabor-based region covariance matrices for palmprint recognition

  • Author

    Lu, Jun ; Zhao, Yiwen ; Hu, Jiankun

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • Volume
    45
  • Issue
    17
  • fYear
    2009
  • Firstpage
    880
  • Lastpage
    881
  • Abstract
    An enhanced Gabor-based region covariance matrices (EGRCM) method for palmprint recognition is proposed. Motivated by the fact that both the Gabor magnitude (GM) and the Gabor phase (GP) of a certain image contain effective information for image feature extraction, they are utilised simultaneously to construct the proposed EGRCM image descriptor for palmprint recognition. Experimental results demonstrate the efficacy of the proposed method.
  • Keywords
    biometrics (access control); covariance matrices; feature extraction; image recognition; Gabor based region; Gabor magnitude; Gabor phase; covariance matrices; image feature extraction; palmprint recognition;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2009.0871
  • Filename
    5207528
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1300563