Title :
Enhanced on-line signature verification based on skilled forgery detection using Sigma-LogNormal Features
Author :
Gomez-Barrero, Marta ; Galbally, Javier ; Fierrez, Julian ; Ortega-Garcia, Javier ; Plamondon, Rejean
Author_Institution :
ATVS - Biometric Recognition Group, Univ. Autonoma de Madrid, Madrid, Spain
Abstract :
One of the biggest challenges in on-line signature verification is the detection of skilled forgeries. In this paper, we propose a novel scheme, based on the Kinematic Theory of rapid human movements and its associated Sigma LogNormal model, to improve the performance of on-line signature verification systems. The approach combines the high performance of DTW-based systems in verification tasks, with the high potential for skilled forgery detection of the Kinematic Theory of rapid human movements. Experiments were carried out on the publicly available BiosecurID multimodal database, comprising 400 subjects. Results show that the performance of the DTW-based system improves for both skilled and random forgeries.
Keywords :
digital signatures; handwriting recognition; log normal distribution; DTW-based systems; dynamic time warping; kinematic theory; online signature verification system; performance improvement; publicly available BiosecurID multimodal database; random forgeries; rapid human movements; sigma-log-normal features; skilled forgery detection; Computational modeling; Databases; Detectors; Error analysis; Feature extraction; Forgery; Training;
Conference_Titel :
Biometrics (ICB), 2015 International Conference on
Conference_Location :
Phuket
DOI :
10.1109/ICB.2015.7139065