DocumentCode
240317
Title
Variation of grip force profile during signature writing
Author
Ghali, Bassma ; Mamun, Khondaker A. ; Chau, TomTak
Author_Institution
Bloorview Res. Inst., Univ. of Toronto, Toronto, ON, Canada
fYear
2014
fDate
4-7 May 2014
Firstpage
1
Lastpage
5
Abstract
To examine the possibility of differentiating between individuals based on the total grip force profile generated while writing a signature, this study investigated the variability of features derived from grip force profiles of twenty adult participants writing the same signature over multiple sessions. Using an instrumented writing utensil and a digitizing tablet, each participant provided 600 samples of a well-practiced bogus signature over a period of 10 days. Using a linear discriminant analysis classifier with a combination of temporal, spectral and information-theoretic features, discrimination among participants was possible with an average misclassification rate of 5.8%. This linear classifier outperformed nonparametric and nonlinear classifier alternatives that were tested in this study. These results suggest the existence of a unique kinetic profile for each writer even when writing the same signature and despite some variation within each writer. The results of this study also highlight the potential of using grip kinetics as a biometric measure for signature verification applications.
Keywords
biometrics (access control); feature extraction; handwriting recognition; image classification; information theory; notebook computers; biometric measure; bogus signature; digitizing tablet; feature variability; grip force profile variation; grip kinetics; information-theoretic features; instrumented writing utensil; kinetic profile; linear discriminant analysis classifier; nonlinear classifier; nonparametric classifier; signature verification applications; signature writing; spectral features; temporal features; time 10 day; Feature extraction; Force; Force measurement; Instruments; Kinetic theory; Sensors; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference on
Conference_Location
Toronto, ON
ISSN
0840-7789
Print_ISBN
978-1-4799-3099-9
Type
conf
DOI
10.1109/CCECE.2014.6901136
Filename
6901136
Link To Document