• DocumentCode
    3288366
  • Title

    A novel method of fingerprint minutiae extraction based on Gabor phase

  • Author

    Gao, Xin ; Chen, Xiaoguang ; Cao, Jia ; Deng, Zirui ; Liu, Chongjin ; Feng, Jufu

  • Author_Institution
    Dept. of Machine Intell., Peking Univ., Beijing, China
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    3077
  • Lastpage
    3080
  • Abstract
    In this paper, a novel method of fingerprint minutiae extraction on grey-scale images is proposed based on the Gabor phase field. The novelty of our approach is that the proposed algorithm is performed on the transform domain, i.e. the Gabor phase field of the fingerprint image. This is different from most existing minutiae extraction methods, in which the minutiae are usually extracted from the binarized and thinned fingerprint image. Experimental results on benchmark data sets demonstrate that the proposed algorithm has promising performances.
  • Keywords
    feature extraction; fingerprint identification; image colour analysis; transforms; Gabor phase field; benchmark data sets; fingerprint image; fingerprint minutiae extraction; grey-scale images; transform domain; Detectors; Feature extraction; Fingerprint recognition; Frequency estimation; Image quality; Pixel; Software algorithms; Gabor phase; feature extraction; fingerprint; minutiae;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5648893
  • Filename
    5648893