• DocumentCode
    1657083
  • Title

    Automatic fingerprint recognition algorithm

  • Author

    Zalev, Jason ; Sedaghat, Reza

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, Ont., Canada
  • Volume
    4
  • fYear
    2004
  • Firstpage
    2263
  • Abstract
    This paper summarizes a simple procedure for preprocessing and extracting minutiae from digital fingerprint images. Many approaches were studied, and the best approaches were selected and slightly modified. Methods for computing minutiae directions and further canceling false endpoints were added. The thinning algorithms of both Bernard and Chin, and the minutiae extraction algorithm of Tico were used. The reasons for their selection are discussed in detail.
  • Keywords
    edge detection; feature extraction; fingerprint identification; police data processing; Bernard thinning algorithm; Chin thinning algorithm; Tico minutiae extraction algorithm; automatic fingerprint recognition algorithm; digital fingerprint images; false endpoint canceling methods; minutiae directions; minutiae extraction; preprocessing procedure; Bifurcation; Computer science; Data mining; Fingerprint recognition; Image converters; Image databases; Image enhancement; Image matching; Impedance matching; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2004. Canadian Conference on
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-8253-6
  • Type

    conf

  • DOI
    10.1109/CCECE.2004.1347697
  • Filename
    1347697