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

Garcia-Salicetti, Sonia and Fierrez-Aguilar, Julian and Alonso-Fernandez, Fernando and Vielhauer, Claus and Guest, Richard and Allano, Lorene and Doan Trung, Tung and Scheidat, Tobias and Ly-Van, Bao and Dittmann, Jana and Dorizzi, Bernadette and Ortega-Garcia, Javier and Gonzalez-Rodriguez, Joaquin and Bacile Di Castiglione, Martino and Fairhurst, Michael (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 . (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)

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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
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 Analysis, Image Processing
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Louise Dorman
Date Deposited: 24 Apr 2008 08:13
Last Modified: 14 Jul 2014 09:27
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