257 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Moisés Díaz5 profiles23 · h 15
- Cristina Carmona-Duarte12 · h 9
- M. Ferrer11 · h 5
- P. Dorta-González10 · h 18
- David Freire-Obregón2 profiles8 · h 13
- M. A. Ferrer-Ballester8 · h 31
- J. Lorenzo-Navarro7 · h 19
- R. Plamondon7 · h 49
- M. Dorta-González6 · h 10
- Miguel A. Ferrer6 · h 22
- Modesto Castrillón-Santana6 · h 22
- S. M. González-Betancor6 · h 10
- Universidad de La LagunaES17 papers
- Centre National de la Recherche ScientifiqueFR14 papers
- Universidad Politécnica de MadridES12 papers
- Imperial College LondonGB10 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR9 papers
- Sorbonne UniversitéFR9 papers
- Observatoire de ParisFR8 papers
- Polytechnique MontréalCA8 papers
- Laboratoire d’Etudes du Rayonnement et de la Matière en Astrophysique et AtmosphèresFR7 papers
- Universidad de ValladolidES7 papers
- Université Paris Sciences et LettresFR7 papers
- Brno University of TechnologyCZ6 papers
34 papers · 1 filter
VIRGi: View-dependent Instant Recoloring of 3D Gaussians Splats
Alessio Mazzucchelli, Ivan Ojeda-Martin, Fernando Rivas-Manzaneque +3
3D Gaussian Splatting (3DGS) has recently transformed the fields of novel view synthesis and 3D reconstruction due to its ability to accurately model complex 3D scenes and its unpr…
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…
Anthropomorphic Features for On-Line Signatures
Moises Diaz, Miguel A. Ferrer, Jose J. Quintana
Many features have been proposed in on-line signature verification. Generally, these features rely on the position of the on-line signature samples and their dynamic properties, as…
A short review on graphonometric evaluation tools in children
Belen Esther Aleman, Moises Diaz, Miguel Angel Ferrer
Handwriting is a complex task that involves the coordination of motor, perceptual and cognitive skills. It is a fundamental skill for the cognitive and academic development of chil…
From operculum and body tail movements to different coupling of physical activity and respiratory frequency in farmed gilthead sea bream and European sea bass. Insights on aquaculture biosensing
Miguel A. Ferrer, Josep A. Calduch-Giner, Moises Díaz +13
The AEFishBIT tri-axial accelerometer was externally attached to the operculum to assess the divergent activity and respiratory patterns of two marine farmed fish, the gilthead sea…
Writing Order Recovery in Complex and Long Static Handwriting
Moises Diaz, Gioele Crispo, Antonio Parziale +2
The order in which the trajectory is executed is a powerful source of information for recognizers. However, there is still no general approach for recovering the trajectory of comp…
On the use of first and second derivative approximations for biometric online signature recognition
Marcos Faundez-Zanuy, Moises Diaz
This paper investigates the impact of different approximation methods in feature extraction for pattern recognition applications, specifically focused on delta and delta-delta para…
MDIW-13: a New Multi-Lingual and Multi-Script Database and Benchmark for Script Identification
Miguel A. Ferrer, Abhijit Das, Moises Diaz +3
Script identification plays a vital role in applications that involve handwriting and document analysis within a multi-script and multi-lingual environment. Moreover, it exhibits a…
Graphomotor and Handwriting Disabilities Rating Scale (GHDRS):towards complex and objective assessment
Jiri Mekyska, Katarina Safarova, Tomas Urbanek +10
Graphomotor and handwriting disabilities (GD and HD, respectively) could significantly reduce children's quality of life. Effective remediation depends on proper diagnosis; however…
A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting through Lognormal Features
Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano +3
Alzheimer's disease is one of the most incisive illnesses among the neurodegenerative ones, and it causes a progressive decline in cognitive abilities that, in the worst cases, bec…
CowScreeningDB: A public benchmark dataset for lameness detection in dairy cows
Shahid Ismail, Moises Diaz, Cristina Carmona-Duarte +2
Lameness is one of the costliest pathological problems affecting dairy animals. It is usually assessed by trained veterinary clinicians who observe features such as gait symmetry o…
Investigating the Common Authorship of Signatures by Off-Line Automatic Signature Verification Without the Use of Reference Signatures
Moises Diaz, Miguel A. Ferrer, Soodamani Ramalingam +1
In automatic signature verification, questioned specimens are usually compared with reference signatures. In writer-dependent schemes, a number of reference signatures are required…
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…
Dynamically enhanced static handwriting representation for Parkinson's disease detection
Moises Diaz, Miguel Angel Ferrer, Donato Impedovo +2
Computer aided diagnosis systems can provide non-invasive, low-cost tools to support clinicians. These systems have the potential to assist the diagnosis and monitoring of neurodeg…
Explainable offline automatic signature verifier to support forensic handwriting examiners
Moises Diaz, Miguel A. Ferrer, Gennaro Vessio
Signature verification is a critical task in many applications, including forensic science, legal judgments, and financial markets. However, current signature verification systems…
Online Signature Recognition: A Biologically Inspired Feature Vector Splitting Approach
Marcos Faundez, Moises Diaz, Miguel Angel Ferrer
This research introduces an innovative approach to explore the cognitive and biologically inspired underpinnings of feature vector splitting for analyzing the significance of diffe…
SM-DTW: Stability Modulated Dynamic Time Warping for signature verification
Antonio Parziale, Moises Diaz, Miguel A. Ferrer +1
Building upon findings in computational model of handwriting learning and execution, we introduce the concept of stability to explain the difference between the actual movements pe…
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…
Static and Dynamic Synthesis of Bengali and Devanagari Signatures
Miguel A. Ferrer, Sukalpa Chanda, Moises Diaz +5
Developing an automatic signature verification system is challenging and demands a large number of training samples. This is why synthetic handwriting generation is an emerging top…
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…
Temporal evolution in synthetic handwriting
Cristina Carmona-Duarte, Miguel A. Ferrer, Antonio Parziale +1
New methods for generating synthetic handwriting images for biometric applications have recently been developed. The temporal evolution of handwriting from childhood to adulthood i…
A Large-Scale Re-identification Analysis in Sporting Scenarios: the Betrayal of Reaching a Critical Point
David Freire-Obregón, Javier Lorenzo-Navarro, Oliverio J. Santana +2
Re-identifying participants in ultra-distance running competitions can be daunting due to the extensive distances and constantly changing terrain. To overcome these challenges, com…
Classifying Soccer Ball-on-Goal Position Through Kicker Shooting Action
Javier Torón-Artiles, Daniel Hernández-Sosa, Oliverio J. Santana +2
This research addresses whether the ball's direction after a soccer free-kick can be accurately predicted solely by observing the shooter's kicking technique. To investigate this,…