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Multibiometrics authentication in pos application

Yang, Chunlei, Tian, Gui Yun and Ward, Stephen (2006) Multibiometrics authentication in pos application. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2006: CEARC’06. University of Huddersfield, Huddersfield, pp. 1-6.

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    Abstract

    In traditional Point of Sales (POS) device, the legitimate user is mainly authenticated by PIN (Personal
    Identification Number). PIN method has drawbacks like easy to be forgotten. Fingerprint technology,
    as the most viable biometrics in the special and restricted hardware environment of POS device, has
    been used to increase user convenience. However, due to inherent problems, fingerprint alone can
    hardly replace PIN in many high secure applications. Although keystroke pattern as one kind of
    biometrics is in research for years, no real satisfied results have been got due to its inherent great
    variability. In this paper, we proposed an innovative method by adapting and increase keystroke
    pattern technology to POS device and applications. Together with fingerprint system, the adapted
    keystroke pattern recognition system constitute a multibiometric system, which helps achieve an
    increase in performance, and provide anti-spoofing measures by making it difficult for an intruder to
    spoof multiple biometric traits simultaneously. Since this approach is a combination of partially featurebased
    and partially knowledge-based, it can be a more deployable alternative to strengthen existing
    PIN and pure biometric authentication methods. Experimental results support that this approach can
    be better trade-off of the security and user convenience.

    Item Type: Book Chapter
    Uncontrolled Keywords: Biometrics, Point-Of-Sales, Keystroke pattern, Security
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    T Technology > TA Engineering (General). Civil engineering (General)
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
    Related URLs:
    Depositing User: Graham Stone
    Date Deposited: 06 Apr 2009 16:42
    Last Modified: 28 Jul 2010 19:32
    URI: http://eprints.hud.ac.uk/id/eprint/3813

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