• DocumentCode
    1707649
  • Title

    Fingerprint biometric authentication based on local global graphs

  • Author

    Kannavara, Raghudeep ; Bourbakis, Nikolaos G.

  • Author_Institution
    Coll. of Eng., Wright State Univ., Dayton, OH, USA
  • fYear
    2009
  • Firstpage
    200
  • Lastpage
    204
  • Abstract
    In this work, we present a method for fingerprint based biometric authentication using the Local Global (LG) Graph methodology. Local graphs of the pre-processed fingerprint image are first calculated and combined to form a Global graph that is stored in a database for the purpose of authentication. The distance between the Global graphs of the presented and the stored fingerprint images is calculated and based on a threshold, subject authenticity is established.
  • Keywords
    fingerprint identification; graph theory; security of data; authentication; fingerprint biometric authentication; local global graph; preprocessed fingerprint image; Authentication; Biometrics; Data mining; Field programmable gate arrays; Fingerprint recognition; Histograms; Image databases; Image matching; Pixel; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace & Electronics Conference (NAECON), Proceedings of the IEEE 2009 National
  • Conference_Location
    Dayton, OH
  • Print_ISBN
    978-1-4244-4494-6
  • Electronic_ISBN
    978-1-4244-4495-3
  • Type

    conf

  • DOI
    10.1109/NAECON.2009.5426628
  • Filename
    5426628