• DocumentCode
    637477
  • Title

    Variations of handwritten signatures with time: A sigma-lognormal analysis

  • Author

    Gomez-Barrero, Marta ; Galbally, Javier ; Fierrez, Julian ; Ortega-Garcia, Javier ; Plamondon, Rejean

  • Author_Institution
    Biometric Recognition Group - ATVS, Univ. Autonoma de Madrid, Madrid, Spain
  • fYear
    2013
  • fDate
    4-7 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The variation of dynamic signatures with time is analysed for the first time using the Kinematic Theory, following a general, consistent and fully reproducible protocol. Experiments are carried out on a new long-term database captured in 6 sessions uniformly distributed over a 15 month time span, under almost identical conditions. Signatures are represented with the Sigma Log-Normal model, which takes into account the effects of body ageing closely related to handwriting, such as neuromuscular response times. After studying the evolution of signatures with time, an analysis on age groups based on the model parameters is carried out.
  • Keywords
    database management systems; digital signatures; log normal distribution; Kinematic Theory; body ageing; dynamic signatures variation; fully reproducible protocol; handwritten signatures; long-term database; model parameters; sigma log-normal model; uniform distribution; Aging; Analytical models; Databases; Kinematics; Neuromuscular; Protocols; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometrics (ICB), 2013 International Conference on
  • Conference_Location
    Madrid
  • Type

    conf

  • DOI
    10.1109/ICB.2013.6612974
  • Filename
    6612974