• DocumentCode
    1941003
  • Title

    Palm-line Extraction Using Steerable Filters

  • Author

    Wang, Yanxia ; Ruan, Qiuqi

  • Author_Institution
    Inst. of Inf. Sci., Beijing Jiaotong Univ.
  • Volume
    3
  • fYear
    2006
  • fDate
    16-20 2006
  • Abstract
    Palm lines include principal lines and wrinkles, which can uniquely describe an individual palmprint. In this paper, a palm-line extraction approach is presented. It contains two stages: global filtering and local filtering. In the first stage, steerable filters are used in a whole image to extract rough palm lines and obtain approximate direction angles. In the second stage, using steerable filters further extracts palm lines and connects broken palm lines in local regions of a same palmprint image. Experimental results demonstrate the performance effectiveness of this approach
  • Keywords
    feature extraction; filtering theory; image recognition; global filtering-local filtering; palm-line extraction approach; palmprint image; steerable filters; Brightness; Data mining; Detectors; Image segmentation; Information filtering; Information filters; Information science; Nonlinear filters; Safety; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2006 8th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9736-3
  • Electronic_ISBN
    0-7803-9736-3
  • Type

    conf

  • DOI
    10.1109/ICOSP.2006.345916
  • Filename
    4129343