• DocumentCode
    3342289
  • Title

    Characteristic Preserving Binarization for Fingerprint Image

  • Author

    Guo Lei ; Chen Da-hai ; Li Hai ; Chang Jiang

  • Author_Institution
    Northwestern Polytech. Univ., Xi´an
  • fYear
    2007
  • fDate
    22-24 Aug. 2007
  • Firstpage
    401
  • Lastpage
    408
  • Abstract
    This paper presents a new method for binarizing fingerprint image while preserving image characteristics. Firstly, a band-stop filter method is adopted to remove the noises in high frequency. At the same time, a simply- thresholded original image is passed to Gaussian low pass filter, and outlines of fingerprint region are get by applying region growing method to the filtered image. Then, background in band-pass image is filled with outlines of the fingerprint region. After these procedures, background intensity is close to zero, thus fixed threshold one is used for binarization. Our experiment results demonstrate that band- stop method can eliminate noises effectively in the fingerprint images. And binarization in outline of fingerprint can solve the problem of disturbance of the background. Segmenting foreground from background helps select threshold and keep the characteristics of fingerprint.
  • Keywords
    band-pass filters; filtering theory; fingerprint identification; Gaussian low pass filter; band-pass image; band-stop filter method; characteristic preserving binarization; filtered image; fingerprint image; fingerprint region; Acoustic noise; Band pass filters; Feature extraction; Filtering; Fingerprint recognition; Frequency domain analysis; Gabor filters; Image matching; Low pass filters; Spatial filters; band-stop filter; binarization.; fingerprint; region growing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Graphics, 2007. ICIG 2007. Fourth International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    0-7695-2929-1
  • Type

    conf

  • DOI
    10.1109/ICIG.2007.42
  • Filename
    4297120