• DocumentCode
    3270558
  • Title

    Joint palmprint and palmvein verification by Dual Competitive Coding

  • Author

    Luo, Nan ; Guo, Zhenhua ; Wu, Gang ; Song, Changjiang

  • Author_Institution
    Inst. of Autom., Heilongjiang Acad. of Sci., Harbin, China
  • fYear
    2011
  • fDate
    18-20 Jan. 2011
  • Firstpage
    538
  • Lastpage
    542
  • Abstract
    Palmprint and palmvein based personal verification has attracted lots of attention recently in the biometrics society. As both the two biometric features can be captured from the palm, it is intuitive and necessary to develop a multimodal system by using the two features for better recognition accuracy. In this paper, a personal verification system which fuses palmprint and palmvein patterns is proposed. A specific device is designed to have a near-infra-red (NIR) camera and an NIR illumination source, so that the palmprint and palmvein information can be captured in a single image simultaneously. In order to represent the two types of biometric features effectively and efficiently, a novel coding scheme, namely Dual Competitive Coding, is proposed. Experimental results on a large database show that the proposed scheme could achieve high recognition accuracy in high matching speed.
  • Keywords
    biometrics (access control); image coding; image matching; image recognition; NIR camera; NIR illumination source; coding scheme; dual competitive coding; high matching speed; high recognition accuracy; multimodal system; near infra red camera; palmprint based personal verification; palmvein based personal verification; Computers; Fingers; feature fusion; multimodal biometrics; palmprint recognition; palmvein recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2011 3rd International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8809-4
  • Electronic_ISBN
    978-1-4244-8810-0
  • Type

    conf

  • DOI
    10.1109/ICACC.2011.6016471
  • Filename
    6016471