Biosecure reference systems for on-line signature verification: a study of complementarity

Garcia-Salicetti, Sonia, Fierrez-Aguilar, Julian, Alonso-Fernandez, Fernando, Vielhauer, Claus, Guest, Richard, Allano, Lorene, Doan Trung, Tung, Scheidat, Tobias, Ly-Van, Bao, Dittmann, Jana, and others. (2007) Biosecure reference systems for on-line signature verification: a study of complementarity. Annales des Telecommunications-Annals of Telemmunications, 62 (1-2). pp. 36-61. ISSN 0003-4347. (doi:10.1007/BF03253249) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:2854)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: http://dx.doi.org/10.1007/BF03253249

Abstract

In this paper, we present an integrated research study in On-line Signature Verification undertaken by several teams that participate in the BioSecure Network of Excellence. This integrated work, started during the First BioSecure Residential Workshop, has as main objective the development of an On-line Signature Verification evaluation platform. As a first step, four On-line Signature Verification Systems based on different approaches are evaluated and compared following the same experimental protocol on MCYT signature database, which is the largest existing on-line western signature database publicly available with 16500 signatures from 330 clients. A particular focus of work documented in this paper is multi-algorithmic fusion in order to study the complementarity of the approaches involved. To this end, a simple fusion method based on the Mean Rule is used after a normalization phase.

Item Type:	Article
DOI/Identification number:	10.1007/BF03253249
Uncontrolled keywords:	biometrics; handwriting; signature; on-line processing; authentication; comparative study; statistical method; hidden Markov model; reference model; mathematical distance; experimental study; research program
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Louise Dorman
Date Deposited:	24 Apr 2008 08:13 UTC
Last Modified:	16 Nov 2021 09:41 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/2854 (The current URI for this page, for reference purposes)

University of Kent Author Information

Guest, Richard.

Creator's ORCID:	https://orcid.org/0000-0001-7535-7336
CReDIT Contributor Roles:

Fairhurst, Michael.

Creator's ORCID:
CReDIT Contributor Roles:

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