• DocumentCode
    510310
  • Title

    PDE-Based Finger Image Denoising

  • Author

    Liu, Ming ; Li, Kunlun ; Zhang, Tianshu ; Yuan, Baozong ; Miao, Zhenjiang

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Hebei Univ., Baoding, China
  • Volume
    3
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    540
  • Lastpage
    543
  • Abstract
    Finger image has attracted the interesting of researchers in biometrics recently, and the lines in it can be used for person recognition. In order to detect lines from the finger image, this paper proposes a new image denoising method. Firstly, the features of the lines in finger image are studied, and an effective edge detection algorithm is put forward. Then, the partial differentiation equations (PDE) for image denoising are defined based on the edge detection algorithm. Finally, the finite differences scheme for the PDEs is given and several experimental results are presented.
  • Keywords
    biometrics (access control); finite difference methods; image denoising; partial differential equations; biometrics; edge detection algorithm; finger image denoising; finite differences; partial differentiation equations; Biometrics; Differential equations; Fingers; Finite difference methods; Image denoising; Image edge detection; Image processing; Image recognition; Image resolution; Noise reduction; Biometrics; Image denoising; Image processing; Partial differential equation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.280
  • Filename
    5376807