• DocumentCode
    1781790
  • Title

    Minutiae based fingerprint image hashing

  • Author

    Muthu, Rajesh ; Bouridane, Ahmed ; Khelifi, Fouad

  • Author_Institution
    Fac. of Eng. & Environ., Northumbria Univ., Newcastle upon Tyne, UK
  • fYear
    2014
  • fDate
    3-5 Nov. 2014
  • Firstpage
    696
  • Lastpage
    700
  • Abstract
    This paper proposes a robust minutiae based fingerprint image hashing technique. The idea is to incorporate the orientation and descriptor in the minutiae of fingerprint images using SIFT-Harris feature points. A recent shape context based perceptual hashing method has been compared against the proposed technique. Experimentally, the proposed technique has been shown to deliver better robustness against image processing operations including JPEG lossy compression and geometric attacks such as rotation and translation.
  • Keywords
    cryptography; feature extraction; fingerprint identification; transforms; JPEG lossy compression; SIFT-Harris feature points; geometric attacks; image processing; minutiae descriptor; minutiae orientation; robust minutiae based fingerprint image hashing technique; rotation; shape context based perceptual hashing method; translation; Context; Feature extraction; Fingerprint recognition; Image matching; Robustness; Shape; Vectors; Minutiae; feature extraction; fingerprint image hashing; shape contexts;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Decision and Information Technologies (CoDIT), 2014 International Conference on
  • Conference_Location
    Metz
  • Type

    conf

  • DOI
    10.1109/CoDIT.2014.6996981
  • Filename
    6996981