• DocumentCode
    1954910
  • Title

    Image Quality and Minutiae Count Comparison for Genuine and Artificial Fingerprints

  • Author

    Elliott, Stephen J. ; Modi, Shimon K. ; Maccarone, Lou ; Young, Matthew R. ; Jin, Changlong ; Kim, Hale

  • Author_Institution
    Purdue Univ., Lafayette
  • fYear
    2007
  • fDate
    8-11 Oct. 2007
  • Firstpage
    30
  • Lastpage
    36
  • Abstract
    The vulnerabilities of biometric sensors have been discussed extensively in the literature and popularized in films and television shows. This research examines the image quality of an artificial print as compared to a genuine finger, and examines the characteristics of the two, including minutiae counts and image quality, as repeated samples are taken.
  • Keywords
    fingerprint identification; artificial fingerprints; biometric sensors; fingerprint recognition; genuine fingerprints; image quality; minutiae count comparison; Authentication; Biometrics; Biosensors; Fingerprint recognition; Fingers; Image quality; Radiofrequency identification; Sensor phenomena and characterization; TV; USA Councils; authentication; biometrics; fingerprint recognition; repeatability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology, 2007 41st Annual IEEE International Carnahan Conference on
  • Conference_Location
    Ottawa, Ont.
  • Print_ISBN
    978-1-4244-1129-0
  • Type

    conf

  • DOI
    10.1109/CCST.2007.4373464
  • Filename
    4373464