• DocumentCode
    423781
  • Title

    A new fingerprint translation finding algorithm

  • Author

    Ma, Hui-min ; Huang, Ru-Ke

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • Volume
    6
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    3583
  • Abstract
    Judging the translation and rotation between the input fingerprint and the template fingerprint is the prerequisite for fingerprint matching, and the process is rather time consuming. We propose a new algorithm of finding the translation between two point sets and its application in fingerprint minutiae matching. This new algorithm is based on the frequency statistic character of the translation vector matrix of two point sets, and has fast processing speed and independence of the locating accuracy of reference points. This method is not only applicable in judging two identical point sets, but also valid in judging two point sets with partial overlapped regions. By using this technique, we achieve a fast speed in finding the translation between two matched minutiae sets, much faster than the traditional method.
  • Keywords
    fingerprint identification; image matching; fingerprint matching; fingerprint translation finding algorithm; frequency statistic character; matched minutiae sets; translation vector matrix; CMOS image sensors; Databases; Fingerprint recognition; Fingers; Focusing; Frequency estimation; Optical distortion; Optical sensors; Statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1380413
  • Filename
    1380413