Please use this identifier to cite or link to this item:
Title: Improving on-line signature skillfulness
Authors: Ferrer Ballester, Miguel Ángel 
Diaz Cabrera, Moises 
Carmona Duarte, María Cristina 
Rejean Plamondon
UNESCO Clasification: 1203 Ciencia de los ordenadores
Keywords: Automatic Signature Verification
Sigma-Lognormal model
forged signatures
Issue Date: 2018
Conference: International Conference on Pattern Recognition and Artificial Intelligence
Abstract: One of the biggest challenges in on-line signature verification is the detection of counterfeited signatures. Recently, novel schemes based on the kinematic theory of rapid human movements and its associated Sigma-Lognormal model has been proposed to improve the detection of on-line skilled forgeries. But for a more realistic and reliable estimation of the forgery detection rate, we would need more challenging on-line forgeries than those included in current databases. To get better on-line skilled forgeries, this paper aimed at leveraging the Sigma-Lognormal model to improve the skill of any online forged signature. Specifically, we propose to replace the original velocity profile of any on-line signature by a synthetic Sigma-Lognormal profile. The new profile emulates a genuine-like velocity profiles without modifying the original ballistic trajectory. Experimental results were performed with the 132 on-line users of publicly BiosecureID database. It is shown that the detection rate of forgeries is significantly worsened when the velocity profile is replaced by the synthetic one. A countermeasure to detect this kind of improved fake signatures is also proposed.
Source: ICPRAI 2018. International Conference on Pattern Recognition and Artificial Intelligence. Montreal, Canadá
Appears in Collections:Actas de congresos
Adobe PDF (621,33 kB)
Show full item record

Page view(s)

checked on Oct 23, 2021


checked on Oct 23, 2021

Google ScholarTM



Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.