Signature verification based on the kinematic theory of rapid human movements

Fischer, Andreas (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland ; DIUF Department, University of Fribourg, Fribourg, Switzerland ; Laboratoire Scribens, Département de Génie Electrique, Ecole Polytechnique de Montréal, Université de Montréal, Montréal, QC, Canada) ; Plamondon, Réjean (Laboratoire Scribens, Département de Génie Electrique, Ecole Polytechnique de Montréal, Université de Montréal, Montréal, QC, Canada)

When using tablet computers, smartphones, or digital pens, human users perform movements with a stylus or their fingers that can be analyzed by the kinematic theory of rapid human movements. In this paper, we present a user-centered system for signature verification that performs such a kinematic analysis to verify the identity of the user. It is one of the first systems that is based on a direct comparison of the elementary neuromuscular strokes which are detected in the handwriting. Taking into account the number of strokes, their similarity, and their timing, the string edit distance is employed to derive a dissimilarity measure for signature verification. On several benchmark datasets, we demonstrate that this neuromuscular analysis is complementary to a well-established verification using dynamic time warping. By combining both approaches, our verifier is able to outperform current state-of-the-art results in on-line signature verification.


Keywords:
Article Type:
scientifique
Faculty:
Ingénierie et Architecture
School:
HEIA-FR
Institute:
iCoSys - Institut des systèmes complexes
Date:
2017-04
Pagination:
12 p.
Published in:
IEEE Transactions on Human-Machine Systems
Numeration (vol. no.):
207, vol. 47, no. 2, pp. 169-180
DOI:
ISSN:
2168-2291
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2020-10-13, last modified 2020-10-27

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