Aging in biometrics: an experimental analysis on on-line signature
Entity
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesPublisher
Public Library of ScienceDate
2013-07-23Citation
10.1371/journal.pone.0069897
PLoS ONE 8.7 (2013): e69897
ISSN
1932-6203 (online)DOI
10.1371/journal.pone.0069897Funded by
This work has been partially supported by projects Contexts (S2009/TIC-1485) from CAM, by Bio-Challenge (TEC2009-11186) and Bio-Shield (TEC2012-34881) from Spanish MECD, by Cátedra UAM-Telefónica, and by the Spanish Dirección General de la Guardia Civil.Project
Comunidad de Madrid. S2009/TIC-1485/CONTEXTSEditor's Version
http://dx.doi.org/10.1371/journal.pone.0069897Subjects
Pattern Recognition; Verification systems; Automatic age estimation; Recognition; TelecomunicacionesNote
Galbally J, Martinez-Diaz M, Fierrez J (2013) Aging in Biometrics: An Experimental Analysis on On-Line Signature. PLoS ONE 8(7): e69897. doi:10.1371/journal.pone.0069897Rights
© 2013 Galbally et al.Abstract
The first consistent and reproducible evaluation of the effect of aging on dynamic signature is reported. Experiments are carried out on a database generated from two previous datasets which were acquired, under very similar conditions, in 6 sessions distributed in a 15-month time span. Three different systems, representing the current most popular approaches in signature recognition, are used in the experiments, proving the degradation suffered by this trait with the passing of time. Several template update strategies are also studied as possible measures to reduce the impact of aging on the system’s performance. Different results regarding the way in which signatures tend to change with time, and their most and least stable features, are also given.
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Google Scholar:Galbally Herrero, Javier
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Martínez Díaz, Marcos
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Fiérrez Aguilar, Julián
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