• DocumentCode
    2980893
  • Title

    Research on Finger Vein Recognition Technology

  • Author

    Ying, Qiu ; Qinglei, Lv

  • Author_Institution
    Coll. of Mech. & Electr., Harbin Eng. Univ., Harbin, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    2937
  • Lastpage
    2940
  • Abstract
    The principle of finger vein recognition is researched, a device used to collect the finger vein images is produced. The images collected are eprocessed, the images are made to gray and combined filter is used to make the model more precision. In order to avoid the effect of area on and out of the finger profile, a method which implement by iterative threshold to extract the finger area and label the profile is used, the area which less than the given threshold is wiped off, the image height is normalized. Three recognition methods which based on moment character, wavelet moment and wavelet moment fusing with K-L and FDA transform rae researched and experimented.
  • Keywords
    feature extraction; fingerprint identification; iterative methods; wavelet transforms; FDA transform; K-L transform; combined filter; finger area extraction; finger profile; finger vein images; finger vein recognition technology; gray filter; image height; image recognition methods; iterative threshold; moment character; wavelet moment; Bismuth; Character recognition; Fingers; Image recognition; Mechatronics; Veins; Wavelet transforms; Finger Vein; Pattern Recognition; Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.716
  • Filename
    5629931