• DocumentCode
    2479380
  • Title

    Efficient Finger Vein Localization and Recognition

  • Author

    Yang, Jinfeng ; Li, Xu

  • Author_Institution
    Tianjin Key Lab. for Adv. Signal Process., Civil Aviation Univ. of China, Tianjin, China
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    1148
  • Lastpage
    1151
  • Abstract
    In order to achieve accurate recognition of human finger vein (FV), this paper addresses the problems of finger vein localization and vein feature extraction. An inherent physical property of human fingers is used to localize the region of interest (ROI) of vein images as well as removing uninformative vein imagery based on the inter-phalangeal joint prior. In addition, vein images are characterized as a series of energy features through steerable filters. Experimental results show the promising performance of the proposed algorithm for human vein identification.
  • Keywords
    biometrics (access control); feature extraction; image recognition; image representation; energy features; finger vein localization; finger vein recognition; human vein identification; image region-of-interest; inter-phalangeal joint prior; steerable filters; Feature extraction; Humans; Image databases; Image segmentation; Joints; Spectrogram; Veins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.287
  • Filename
    5595881