• DocumentCode
    3091875
  • Title

    Reference Point and Orientation Detection of Fingerprints

  • Author

    Mohammadi, Shahram ; Farajzadeh, Ali

  • Author_Institution
    Fac. of Eng., Univ. of Zanjan, Zanjan, Iran
  • Volume
    2
  • fYear
    2009
  • fDate
    28-30 Dec. 2009
  • Firstpage
    469
  • Lastpage
    473
  • Abstract
    In this paper we suggest a novel approach for detection of a unique reference point and computation of a unique reference orientation of fingerprints for feature extraction in polar coordinates. After finding orientation field of the fingerprint the curvature measurement is done on the result. By using this information it is possible to determine the exact location of the singular points. Based on this information finally the reference point and reference orientation will be obtained. The proposed method is of high accuracy and performance and at the meantime tolerates displacement and rotation of the input fingerprint. This can be applied to all classes of fingerprints especially to problematic arch class ones.
  • Keywords
    feature extraction; fingerprint identification; object detection; curvature measurement; feature extraction; fingerprint orientation detection; polar coordinates; reference point; unique reference orientation; Authentication; Computer networks; Detection algorithms; Explosives; Feature extraction; Fingerprint recognition; Hardware; IP networks; Noise robustness; Telecommunication computing; Orientation Field; Reference point; Singular point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-5365-8
  • Electronic_ISBN
    978-0-7695-3925-6
  • Type

    conf

  • DOI
    10.1109/ICCEE.2009.153
  • Filename
    5380254