• DocumentCode
    3312390
  • Title

    A new approach of finger-print recognition based on neural network

  • Author

    Saropourian, Behnaz

  • Author_Institution
    Dept.Comput. Eng., Islamic Azad Univ., Kermanshah, Iran
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    158
  • Lastpage
    161
  • Abstract
    In this issue opposite of other custom and classic patterns of the finger-print recognition that they have working on the single dots existing on the finger-print liked ridge-ending and bifurcation. This new observation is about finger-print recognition that uses state of the single steak in the finger-print image, because patterns of the veins in the finger-print without notice of the finger-print about person, and can be used for identified person. This algorithm can work very fine on the binary images and also gray scanned photo.
  • Keywords
    fingerprint identification; neural nets; binary image; classic pattern; finger-print recognition; gray scanned photo; neural network; Bifurcation; Biometrics; Fingers; Image recognition; Information security; Multi-layer neural network; Neural networks; Pattern recognition; Stability; Veins; Biometric; Error Propagation; Multilayer Precpetron; Neural Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5234593
  • Filename
    5234593