e-BioSign Tool: Towards Scientific Assessment of Dynamic Signatures under Forensic Conditions
Entity
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesPublisher
Institute of Electrical and Electronics Engineers Inc.Date
2015Citation
10.1109/BTAS.2015.7358756
2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS). IEEE, 2015. 7358756
ISBN
978-147998776-4DOI
10.1109/BTAS.2015.7358756Funded by
This work was supported in part by the Project Bio-Shield (TEC2012-34881), in part by Cecabank e-BioFirma Contract, in part by the BEAT Project (FP7-SEC-284989) and in part by Catedra UAM-Telefonica.Project
Gobierno de España. TEC2012-34881; info:eu-repo/grantAgreement/EC/FP7/284989Editor's Version
http://dx.doi.org/10.1109/BTAS.2015.7358756Subjects
Biometrics; Electronic document identification systems; Digitizing tablet; Dynamic information; Forensic analysis; Forensic handwriting examiners; Likelihood ratios; Offline signatures; Signature analysis; Spatial resolution; Population statistics; TelecomunicacionesNote
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. R. Vera-Rodriguez, J. Fierrez, J. Ortega-Garcia, A. Acien and R. Tolosana, "e-BioSign tool: Towards scientific assessment of dynamic signatures under forensic conditions," 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS), Arlington, VA, 2015, pp. 1-6. doi: 10.1109/BTAS.2015.7358756Rights
© 2015 IEEEAbstract
This paper presents a new tool specifically designed to
carry out dynamic signature forensic analysis and give sci-
entific support to forensic handwriting examiners (FHEs).
Traditionally FHEs have performed forensic analysis of
paper-based signatures for court cases, but with the rapid
evolution of the technology, nowadays they are being asked
to carry out analysis based on signatures acquired by digi-
tizing tablets more and more often. In some cases, an option
followed has been to obtain a paper impression of these sig-
natures and carry out a traditional analysis, but there are
many deficiencies in this approach regarding the low spa-
tial resolution of some devices compared to original off-line
signatures and also the fact that the dynamic information,
which has been proved to be very discriminative by the bio-
metric community, is lost and not taken into account at all.
The tool we present in this paper allows the FHEs to carry
out a forensic analysis taking into account both the tra-
ditional off-line information normally used in paper-based
signature analysis, and also the dynamic information of the
signatures. Additionally, the tool incorporates two impor-
tant functionalities, the first is the provision of statistical
support to the analysis by including population statistics for
genuine and forged signatures for some selected features,
and the second is the incorporation of an automatic dy-
namic signature matcher, from which a likelihood ratio (LR)
can be obtained from the matching comparison between the
known and questioned signatures under analysis.
Files in this item
Google Scholar:Vera Rodríguez, Rubén
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Fiérrez Aguilar, Julián
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Ortega García, Javier
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Acién Ayala, Alejandro
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Tolosana Moranchel, Rubén
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