A complexity measure of handwritten curves: modeling of dynamic signature forgery

Brault, Jean-Jules; Plamondon, Réjean

doi:10.1109/21.229453

Cited by 83 publications

(41 citation statements)

References 36 publications

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“…These aspects have great theoretical and practical relevance since they highlight the large difference between humans and machines in perceiving, processing, and verifying signatures, while providing fundamental information for developing the next generation systems, with high adaptive capabilities. For instance, short signatures could convey less information than long signatures, resulting in less accurate verification results [20]. Similarly, people with common names could be more likely to share similar signatures with other individuals-at least concerning shape characteristics.…”

Section: Classificationmentioning

confidence: 99%

Automatic Signature Verification: The State of the Art

Impedovo

Pirlo

2008

IEEE Trans. Syst., Man, Cybern. C

538

295

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Abstract-In recent years, along with the extraordinary diffusion of the Internet and a growing need for personal verification in many daily applications, automatic signature verification is being considered with renewed interest. This paper presents the state of the art in automatic signature verification. It addresses the most valuable results obtained so far and highlights the most profitable directions of research to date. It includes a comprehensive bibliography of more than 300 selected references as an aid for researchers working in the field.

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Section: Classificationmentioning

confidence: 99%

Automatic Signature Verification: The State of the Art

Impedovo

Pirlo

2008

IEEE Trans. Syst., Man, Cybern. C

538

295

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“…In 1993, Brault and Plamandon analysed this impact in [13], validating than shorter signatures convey generally less information than longer ones, and therefore, achieve lower verification performances. Following this idea, Fairhurst et al [14] investigated several issues relating to signature complexity and authentication decisions, showing the impact of signature complexity levels in the error rates obtained and acknowledging the need of further investigation on signature complexity methods.…”

Section: Literature Reviewmentioning

confidence: 99%

A new approach to automatic signature complexity assessment

Miguel-Hurtado

Guest

Chatzisterkotis

2016

2016 IEEE International Carnahan Conference on Security Technology (ICCST)

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Abstract-Understanding signature complexity has been shown to be a crucial facet for both forensic and biometric applications. The signature complexity can be defined as the difficulty that forgers have when imitating the dynamics (constructional aspects) of other users signatures. Knowledge of complexity along with others facets such stability and signature length can lead to more robust and secure automatic signature verification systems. The work presented in this paper investigates the creation of a novel mathematical model for the automatic assessment of the signature complexity, analysing a wider set of dynamic signature features and also incorporating a new layer of detail, investigating the complexity of individual signature strokes. To demonstrate the effectiveness of the model this work will attempt to reproduce the signature complexity assessment made by experienced FDEs on a dataset of 150 signature samples.

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“…R15C,D: Successful reconstructions using four and three strokes, respectively. the design of an interactive tool to help children learning handwriting (Carrières & Plamondon 1994), the development of a complexity measure to model the difficulty of forging signatures (Brault & Plamondon 1993a), the segmentation of handwritten signatures (Brault & Plamondon 1993b), and so forth.…”

Section: R41 New Explanations To Some Classical Experimentsmentioning

confidence: 99%

Distance versus position information in the control of aiming movements

Wieringen¹,

Beek²

1997

Behav Brain Sci

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Abstract:This target article presents a critical survey of the scientific literature dealing with the speed/accuracy trade-offs in rapid-aimed movements. It highlights the numerous mathematical and theoretical interpretations that have been proposed in recent decades. Although the variety of points of view reflects the richness of the field and the high degree of interest that such basic phenomena attract in the understanding of human movements, it calls into question the ability of 'many models to explain the basic observations consistently reported in the field. This target article summarizes the kinematic theory of rapid human movements, proposed recently by R. Plamondon (1993b; 1993c;, and analyzes its predictions in the context of speed/accuracy trade-offs. Data from human movement literature are reanalyzed and reinterpreted in the context of the new theory. It is shown that the various aspects of speed/accuracy tradeoffs can be taken into account by considering the asymptotic behavior of a large number of coupled linear systems, from which a deltalognormal law can be derived to describe the velocity profile of an end-effector driven by a neuromuscular synergy. This law not only describes velocity profiles almost perfectly, it also predicts the kinematic properties of simple rapid movements and provides a consistent framework for the analysis of different types of speed/accuracy trade-offs using a quadratic (or power) law that emerges from the model.

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A complexity measure of handwritten curves: modeling of dynamic signature forgery

Cited by 83 publications

References 36 publications

Automatic Signature Verification: The State of the Art

Automatic Signature Verification: The State of the Art

A new approach to automatic signature complexity assessment

Distance versus position information in the control of aiming movements

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