• DocumentCode
    1703479
  • Title

    Pseudo-Signatures as a Biometric

  • Author

    Chen, Jin ; Lopresti, Daniel ; Ballard, Lucas ; Monrose, Fabian

  • Author_Institution
    Dept. of Comput. Sci.&Eng., Lehigh Univ., Bethlehem, PA
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Recent work has shown that biometric key generation using handwriting as input is susceptible to attacks based on generative models and population statistics. In this paper, we examine a new scheme we have proposed that attempts to address this issue. Pseudo-signatures are intended to be easy for users to create and reproduce while being more resilient to forgery attempts. We consider some basic quality and performance measures to try to determine whether a user´s pseudo-signatures are sufficiently idiosyncratic. Our preliminary results indicate the approach shows promise and is deserving of further study.
  • Keywords
    cryptography; digital signatures; handwriting recognition; biometric key generation; forgery attempts; handwriting; idiosyncratic; pseudo-signatures; Authentication; Biometrics; Cryptography; Entropy; Feature extraction; Forgery; Humans; Security; Statistics; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometrics: Theory, Applications and Systems, 2008. BTAS 2008. 2nd IEEE International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4244-2729-1
  • Electronic_ISBN
    978-1-4244-2730-7
  • Type

    conf

  • DOI
    10.1109/BTAS.2008.4699326
  • Filename
    4699326