• DocumentCode
    2347681
  • Title

    Fast focal point localization algorithm for fingerprint registration

  • Author

    Areekul, Vutipong ; Boonchaiseree, Natthawat

  • Author_Institution
    Dept. of Electr. Eng., Kasetsart Univ., Bangkok
  • fYear
    2008
  • fDate
    3-5 June 2008
  • Firstpage
    2089
  • Lastpage
    2094
  • Abstract
    Fingerprint registration is still a challenging problem for large-scale fingerprint identification system. In this paper, a new, fast, and efficient algorithm for the focal point localization is proposed. The focal point is a reliable reference point, which can replace a singular point such as core in fingerprint registration process. The advantages of the focal point over the singular point are its uniqueness and reliability under low quality fingerprint and partial fingerprint conditions. In this paper, the proposed algorithm employed only orientation fields of fingerprint instead of a fully enhanced fingerprint, resulting in reduction of 7 times computational complexity compared to a previous algorithm. Moreover, the new algorithm achieves good localization accuracy and outstanding stability comparing with existing results in literature.
  • Keywords
    fingerprint identification; image registration; fingerprint registration; focal point localization algorithm; large-scale fingerprint identification system; Algorithm design and analysis; Computational complexity; Filters; Fingerprint recognition; Image processing; Iterative algorithms; Laboratories; Large-scale systems; Mathematical model; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1717-9
  • Electronic_ISBN
    978-1-4244-1718-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2008.4582888
  • Filename
    4582888