• DocumentCode
    2853298
  • Title

    Fingerprint center point location using directional field

  • Author

    Chan, Y.H. ; Abu-Bakar, S.A.R.

  • Author_Institution
    Universiti Teknologi Malaysia, Johor, Malaysia
  • fYear
    2004
  • fDate
    18-20 Dec. 2004
  • Firstpage
    286
  • Lastpage
    289
  • Abstract
    This paper presents a reliable fingerprint center point (CP) location algorithm for the alignment of fingerprints to construct a shift invariant fingerprint recognition system. The proposed algorithm is based on alteration tracking (AT) and CP estimation (CPE). AT is proposed to extract a track that records the transition from one quantized direction to another. CPE is aimed to find the bending point with highest transition of direction from the transition track. This algorithm is tested against fingerprints captured from SAGEM MSO100 optical scanner and the second database from University of Bologna. Experimental result shows that the proposed algorithm is capable of reliably locating fingerprint CP.
  • Keywords
    fingerprint identification; CP estimation; alteration tracking; bending point; directional field; fingerprint center point location; fingerprint recognition system; Databases; Fingerprint recognition; Gray-scale; Image matching; Low pass filters; Neural networks; Optical distortion; Optical recording; Testing; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Graphics (ICIG'04), Third International Conference on
  • Conference_Location
    Hong Kong, China
  • Print_ISBN
    0-7695-2244-0
  • Type

    conf

  • DOI
    10.1109/ICIG.2004.67
  • Filename
    1410441