Dynamic signature verification system based on one real signature

Diaz, Moises (IDeTIC Institute, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain) ; Fischer, Andreas (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland ; DIUF Department, University of Fribourg, Fribourg, Switzerland) ; Ferrer, Miguel A. (IDeTIC Institute, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain) ; Plamondon, Réjean (Laboratoire Scribens, École Polytechnique de Montréal, Montreal, QC, Canada)

The dynamic signature is a biometric trait widely used and accepted for verifying a person's identity. Current automatic signature-based biometric systems typically require five, ten, or even more specimens of a person's signature to learn intrapersonal variability sufficient to provide an accurate verification of the individual's identity. To mitigate this drawback, this paper proposes a procedure for training with only a single reference signature. Our strategy consists of duplicating the given signature a number of times and training an automatic signature verifier with each of the resulting signatures. The duplication scheme is based on a sigma lognormal decomposition of the reference signature. Two methods are presented to create human-like duplicated signatures: the first varies the strokes' lognormal parameters (stroke-wise) whereas the second modifies their virtual target points (target-wise). A challenging benchmark, assessed with multiple state-of-the-art automatic signature verifiers and multiple databases, proves the robustness of the system. Experimental results suggest that our system, with a single reference signature, is capable of achieving a similar performance to standard verifiers trained with up to five signature specimens.


Keywords:
Article Type:
scientifique
Faculty:
Ingénierie et Architecture
School:
HEIA-FR
Institute:
iCoSys - Institut des systèmes complexes
Subject(s):
Ingénierie
Date:
2018-01
Pagination:
12 p.
Published in:
IEEE Transactions on Cybernetics
Numeration (vol. no.):
2018, vol. 48, no. 1, pp. 228-239
DOI:
ISSN:
2168-2267
Appears in Collection:

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 Record created 2019-02-26, last modified 2019-03-05

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