• DocumentCode
    2572351
  • Title

    Application of method for getting direction image based on gradient in fingerprint preprocessing

  • Author

    Li, Jing ; Ma, Jian-min ; Wu, Xinhui

  • Author_Institution
    Dept. of Inf. Eng., Hebei Chem. & Pharm. Coll., Shijiazhuang, China
  • fYear
    2011
  • fDate
    27-29 June 2011
  • Firstpage
    250
  • Lastpage
    253
  • Abstract
    The fingerprint image preprocessing is the premise and basis for fingerprint identification. It will directly influence the final outcome of fingerprint identification. In order to maintain and restore fingerprint ridge structures, and improve the noise immunity of fingerprint image preprocessing algorithm. In the paper, a method for getting direction image based on gradient is given. Using direction information of fingerprint image, we execute a sequence of operations, such as: image enhancement, binarization, thinning, and a more accurate linear graph is obtained. This method which is proposed in process of fingerprint preprocessing can effectively improve the quality of fingerprint ridge and can obviously restrain all kinds of noises. The experiment result shows that the method achieves the desired result.
  • Keywords
    fingerprint identification; gradient methods; graph theory; image enhancement; direction image; fingerprint identification; fingerprint image preprocessing algorithm; fingerprint ridge structures; gradient method; image binarization; image enhancement; image thinning; linear graph; noise immunity; Feature extraction; Fingerprint recognition; Image matching; Image segmentation; Noise; Pixel; Reactive power; Binarization; Direction Image; Fingerprint Identification; Image Enhancement; Preprocessing; Thinning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Service System (CSSS), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9762-1
  • Type

    conf

  • DOI
    10.1109/CSSS.2011.5972044
  • Filename
    5972044