• DocumentCode
    629946
  • Title

    Fingerprint images enhancement using diffusion tensor

  • Author

    Romdhane, Feriel ; Benzarti, Faouzi ; Amiri, Hamid

  • Author_Institution
    Signal, Image & Inf. Technol. Lab. (SITI), ENIT, Tunis, Tunisia
  • fYear
    2013
  • fDate
    21-23 March 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Fingerprints are the oldest and most widely used form of biometric identification. However, their image contrast is poor due to skin conditions and application of incorrect finger pressure. Fingerprint enhancement is necessary to ensure the performance and robustness of the algorithms for fingerprint recognition. In this work, we present a fast fingerprint enhancement method based on the diffusion tensor which allows a better performance than a simple gradient. The performance and efficiency of the algorithm are estimated by calculating various quality metrics and compared with the advanced met.
  • Keywords
    fingerprint identification; image enhancement; tensors; biometric identification; diffusion tensor; finger pressure; fingerprint image enhancement; fingerprint recognition; image contrast; quality metrics; skin condition; Coherence; Fingerprint recognition; Mathematical model; PSNR; Smoothing methods; Tensile stress; Fingerprint; Image enhancement; Tensor Diffusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering and Software Applications (ICEESA), 2013 International Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4673-6302-0
  • Type

    conf

  • DOI
    10.1109/ICEESA.2013.6578465
  • Filename
    6578465