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