• DocumentCode
    3421462
  • Title

    Two modality-based bi-finger vein verification system

  • Author

    Zhichao, Li ; Dongmei, Sun ; Di, Liu ; Hao, Liu

  • Author_Institution
    Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    1690
  • Lastpage
    1693
  • Abstract
    At present, the finger vein has attracted more attention, but the existing finger vein extraction systems are single finger systems, multi-finger case is not yet to come, and few work was did about the research of corresponding verification algorithms. This paper proposes a two modality-based bi-finger vein verification system. Both the finger vein and finger shape could be extracted from the single image acquired from the sensor. The system includes the new finger vein network extraction algorithm. The intersection of the forefinger and middle finger as the origin is introduced to the coordinate system, proposing a method including determining ROI, the finger vein and shape features extraction and its corresponding fusion verification. The experiment shows that the new finger vein network extraction algorithm can extract the finger vein network well. The introduction of the coordinate system effectively solves the problem that not easy to determine ROI, and the false accept rate of bi-pattern fusion verification system is much smaller than the false accept rate of single-feature fusion verification system.
  • Keywords
    discrete cosine transforms; feature extraction; fingerprint identification; shape recognition; bipattern fusion verification system; finger vein extraction systems; modality-based bi-finger vein verification system; multifinger case; new finger vein network extraction algorithm; shape features extraction; single finger systems; single-feature fusion verification system; verification algorithms; Feature extraction; Fingers; Histograms; Pixel; Radiation detectors; Shape; Veins; Two-dimensional discrete cosine transform; decision-making level fusion; finger shape; finger vein;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5656847
  • Filename
    5656847