• DocumentCode
    2795557
  • Title

    Singular point detection using Discrete Hodge Helmholtz Decomposition in fingerprint images

  • Author

    Gao, Hengzhen ; Mandal, Mrinal K. ; Guo, Gencheng ; Wan, Jianwei

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    1094
  • Lastpage
    1097
  • Abstract
    Identification of singular points in the ridge structure is an important problem in fingerprint matching. This paper presents a fingerprint singular point detection method that is applicable to various fingerprint images regardless of their resolutions. Using the Discrete Hodge Helmholtz Decomposition (DHHD) method, potential structures of singular points can be extracted. We also calculate Poincare Index (PI) of the image. Then we combine DHHD and PI to detect singular points. The result of the experiment on the public databases with different images demonstrates that the proposed method has high accuracy in locating singular points.
  • Keywords
    Helmholtz equations; Poincare mapping; fingerprint identification; image matching; object detection; Poincare index; discrete Hodge Helmholtz decomposition; fingerprint images; fingerprint matching; ridge structure; singular point detection; singular points identification; Algorithm design and analysis; Analysis of variance; Feature extraction; Fingerprint recognition; Gaussian processes; Image analysis; Image databases; Image matching; Image resolution; Shape; Discrete Hodge-Helmholtz decomposition; core point; delta point; fingerprint image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5495348
  • Filename
    5495348