• DocumentCode
    2017109
  • Title

    An Effective and Robust Fingerprint Enhancement Method

  • Author

    Yu, Chengpu ; Xie, Mei ; Qi, Jin

  • Author_Institution
    Univ. of Electron. Sci. & Technol. of China, Chengdu
  • Volume
    2
  • fYear
    2008
  • fDate
    17-18 Oct. 2008
  • Firstpage
    110
  • Lastpage
    113
  • Abstract
    Fingerprint enhancement is a critical part in an automatic fingerprint verification system, which can improve the quality of the fingerprint and extract reliable minutiae in a fingerprint. In this paper, we proposed an effective and robust algorithm for fingerprint enhancement. Firstly, we use contrast stretching approach to improve the clarity between foreground and background of the fingerprint image. Then we utilize the structure tensor property to estimate the fingerprint orientation to improve the accuracy of orientation estimation. Finally, we combine the advantages of Gabor filtering method and diffusion filtering method, and adopt low-pass filter at the direction that is parallel to the ridge, and adopt band-pass filter at the direction that is perpendicular to the ridge. In the experiment, we have evaluated the performance of our method for fingerprint enhancement, and the results show that our algorithm performs much better within less time.
  • Keywords
    Gabor filters; band-pass filters; feature extraction; fingerprint identification; image enhancement; low-pass filters; Gabor filtering; automatic fingerprint verification system; band-pass filter; contrast stretching approach; diffusion filtering; fingerprint enhancement; fingerprint orientation estimation; low-pass filter; structure tensor property; Band pass filters; Computational intelligence; Eigenvalues and eigenfunctions; Filtering; Fingerprint recognition; Gabor filters; Image matching; Low pass filters; Robustness; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3311-7
  • Type

    conf

  • DOI
    10.1109/ISCID.2008.157
  • Filename
    4725469