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
Link To Document :
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