• DocumentCode
    2152854
  • Title

    Adaptive Fingerprint Image Enhancement with Contourlet Transform

  • Author

    Cheng, Guang-Quan ; Cheng, Li-Zhi

  • Volume
    3
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    261
  • Lastpage
    264
  • Abstract
    The quality of fingerprint images highly affects the performance of Integrated Automated Fingerprint Identification Service. An effective method is essential to enhance the fingerprint image. Based on the study of intrinsic feature of fingerprint images, we propose a new approach for fingerprint image enhancement via contourlet transform in this paper. Our method is adaptive for orientation estimation and coefficients modification, which is robust and efficient. The experimental results show that our proposed algorithm can increase the contrast between ridges and valleys, and reduce noises in the gray-scale fingerprint images from FVC2002.
  • Keywords
    Anisotropic filters; Filter bank; Fingerprint recognition; Frequency; Gabor filters; Geometry; Image matching; Noise reduction; Signal processing algorithms; Wavelet transforms; Directional medium filter; Fingerprint image enhancement; Orientation estimation; The Contourlet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2008. CISP '08. Congress on
  • Conference_Location
    Sanya, China
  • Print_ISBN
    978-0-7695-3119-9
  • Type

    conf

  • DOI
    10.1109/CISP.2008.434
  • Filename
    4566485