257 citations · 490 across the 10 of their papers we have counts for
7 papers · 1 filter
Telling Human and Machine Handwriting Apart
Luis A. Leiva, Moises Diaz, Nuwan T. Attygalle +2
Handwriting movements can be leveraged as a unique form of behavioral biometrics, to verify whether a real user is operating a device or application. This task can be framed as a r…
A Perspective Analysis of Handwritten Signature Technology
Moises Diaz, Miguel A. Ferrer, Donato Impedovo +3
Handwritten signatures are biometric traits at the center of debate in the scientific community. Over the last 40 years, the interest in signature studies has grown steadily, havin…
iDeLog: Iterative Dual Spatial and Kinematic Extraction of Sigma-Lognormal Parameters
Miguel A. Ferrer, Moises Diaz, Cristina Carmona-Duarte +1
The Kinematic Theory of rapid movements and its associated Sigma-Lognormal model have been extensively used in a large variety of applications. While the physical and biological me…
Extending the kinematic theory of rapid movements with new primitives
Miguel A. Ferrer, Moises Diaz, Jose J. Quintana +1
The Kinematic Theory of rapid movements, and its associated Sigma-Lognormal, model 2D spatiotemporal trajectories. It is constructed mainly as a temporal overlap of curves between…
Synthesis of 3D on-air signatures with the Sigma-Lognormal model
Miguel A. Ferrer, Moises Diaz, Cristina Carmona-Duarte +2
Signature synthesis is a computation technique that generates artificial specimens which can support decision making in automatic signature verification. A lot of work has been ded…
Human or Machine? It Is Not What You Write, But How You Write It
Luis A. Leiva, Moises Diaz, Miguel A. Ferrer +1
Online fraud often involves identity theft. Since most security measures are weak or can be spoofed, we investigate a more nuanced and less explored avenue: behavioral biometrics v…
Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks
Daniel Berio, Memo Akten, Frederic Fol Leymarie +2
We propose a computational framework to learn stylisation patterns from example drawings or writings, and then generate new trajectories that possess similar stylistic qualities. W…