• DocumentCode
    582909
  • Title

    Research of topology-based fingerprint matching algorithm

  • Author

    Luo, Dong ; Chen, Xiaorong

  • Author_Institution
    Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    632
  • Lastpage
    635
  • Abstract
    The core point of each fingerprint is unique, with abundant information. While core point does not exist, such as the arch class fingerprint, use pseudo-core point instead. Therefore, start with core point, each minutia is defined by the topological relationship which consisted of its neighbor minutiae. Then compare each minutia recursively outward. The proposed approach makes full use of center area of fingerprint, and avoids meaningless matching of minutiae in the edge area. Hence, it has better performance in operation efficiency. The experimental trials have been conducted on FVC2004 databases.
  • Keywords
    fingerprint identification; image matching; visual databases; FVC2004 database; arch class fingerprint; fingerprint center area; fingerprint core point; minutiae matching; pseudocore point; topology-based fingerprint matching algorithm; Algorithm design and analysis; Bifurcation; Classification algorithms; Feature extraction; Fingerprint recognition; Image matching; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4577-2144-1
  • Type

    conf

  • DOI
    10.1109/ICICIP.2012.6391462
  • Filename
    6391462