• DocumentCode
    3203421
  • Title

    A Novel Palmprint Segmentation and Recognition Algorithm

  • Author

    Qichuan, Tian ; Ziliang, Li ; Yanchun, Zhu

  • Author_Institution
    Sch. of Electron. Inf. Eng., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    273
  • Lastpage
    276
  • Abstract
    According to palmprint region segmentation problem, a novel five-point segmentation algorithm is proposed in this paper. Firstly, the maximum inscribed circle should be located in palm image by using fast method based on affine transformation, and three junctions of finger and finger can be located in polar coordinates, and then the two tangential points can be gotten by using the method of polar coordinates transformation. Finally, palmprint segmentation can be realized based on these points. The experiment results show that the algorithm is accurate and effective. After achieving the effective region, palmprint pattern´s classification experiments are done, and the results show that the recognition algorithm is effective.
  • Keywords
    affine transforms; biometrics (access control); image recognition; image segmentation; five-point segmentation algorithm; maximum inscribed circle; palm image; palmprint pattern classification; palmprint recognition algorithm; palmprint segmentation algorithm; polar coordinates; polar coordinates transformation; tangential points; Automation; Biometrics; Calibration; Fingers; Image edge detection; Image recognition; Image segmentation; Materials science and technology; Pattern classification; Pattern recognition; Affine Transformation; Angular Calibration; Hit or Miss Transform; Maximum Inscribed Circle; Palmprint Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.652
  • Filename
    5523252