• DocumentCode
    2042024
  • Title

    Intrinsic coordinates for fingerprints based on their longitudinal axis

  • Author

    Hotz, Thomas

  • Author_Institution
    Inst. for Math. Stochastics, Univ. of Gottingen, Gottingen, Germany
  • fYear
    2009
  • fDate
    16-18 Sept. 2009
  • Firstpage
    500
  • Lastpage
    504
  • Abstract
    Image alignment is an important step in the fingerprint recognition process. In order to obtain that Euclidean motion, its rotation and both translational components need to be determined. We propose a novel method to obtain this information by extracting the fingerprints´ longitudinal axes from their orientation fields. A model-based approach allows to additionally fix a horizontal axis, thereby defining an intrinsic coordinate system. We evaluated the robustness of this method on the NIST Special Database 4.
  • Keywords
    fingerprint identification; Euclidean motion; NIST Special Database 4; fingerprint intrinsic coordinates; fingerprint recognition; image alignment; intrinsic coordinate system; longitudinal axis; Computational complexity; Data mining; Databases; Fingerprint recognition; Fingers; Medical treatment; NIST; Robustness; Stochastic processes; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing and Analysis, 2009. ISPA 2009. Proceedings of 6th International Symposium on
  • Conference_Location
    Salzburg
  • ISSN
    1845-5921
  • Print_ISBN
    978-953-184-135-1
  • Type

    conf

  • DOI
    10.1109/ISPA.2009.5297679
  • Filename
    5297679