• DocumentCode
    2842443
  • Title

    Modified PCNN Filtering for Fingerprint Enhancement

  • Author

    Ji, Luping ; Pu, Xiaorong ; Liu, Guisong

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China Chengdu, Chengdu, China
  • Volume
    2
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    404
  • Lastpage
    408
  • Abstract
    Enhancement is an important step in fingerprint system. This paper presents one fingerprint enhancement algorithm, which is based on a modified pulse coupled neural network (PCNN). It preprocesses fingerprint to obtain image and orientation masks, and then it iteratively enhances the image by PCNN filtering by the constraints of these two masks. Experiments on FVC2004 databases show that this algorithm is able to enhance fingerprint effectively, and it could also significantly improve the recognition performance of a fingerprint system.
  • Keywords
    fingerprint identification; image enhancement; neural nets; fingerprint enhancement; fingerprint system; image enhancement; modified PCNN filtering; modified pulse coupled neural network; orientation mask; Algorithm design and analysis; Computer science; Filtering; Fingerprint recognition; Gabor filters; Image databases; Image matching; Image quality; Iterative algorithms; Neural networks; fingerprint enhancement; modified PCNN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.360
  • Filename
    5364857
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2842443