activity
20182026
most citedA Comparative Study of Fingerprint Image-Quality Estimation Methods

212 citations · 2k across the 86 of their papers we have counts for

collaborators

101 papers

cs.CV2026

Forensic Twins: Self-Supervised Residual Learning for AI-Generated Image Forensics

Javier Muñoz-Haro, Ruben Tolosana, Ruben Vera-Rodriguez +2

Detectors of AI-generated images are typically trained using samples from all Generative AI architectures they must catch, and struggle as soon as a new architecture emerges. Recen…

cs.CV2023★ 4 cited

PAD-Phys: Exploiting Physiology for Presentation Attack Detection in Face Biometrics

Luis F. Gomez, Julian Fierrez, Aythami Morales +5

Presentation Attack Detection (PAD) is a crucial stage in facial recognition systems to avoid leakage of personal information or spoofing of identity to entities. Recently, pulse d…

cs.CV2023★ 1 cited

LivDet2023 -- Fingerprint Liveness Detection Competition: Advancing Generalization

Marco Micheletto, Roberto Casula, Giulia Orrù +5

The International Fingerprint Liveness Detection Competition (LivDet) is a biennial event that invites academic and industry participants to prove their advancements in Fingerprint…

cs.CV2023★ 17 cited

AI4Food-NutritionFW: A Novel Framework for the Automatic Synthesis and Analysis of Eating Behaviours

Sergio Romero-Tapiador, Ruben Tolosana, Aythami Morales +7

Nowadays millions of images are shared on social media and web platforms. In particular, many of them are food images taken from a smartphone over time, providing information relat…

cs.CV2023★ 11 cited

mEBAL2 Database and Benchmark: Image-based Multispectral Eyeblink Detection

Roberto Daza, Aythami Morales, Julian Fierrez +2

This work introduces a new multispectral database and novel approaches for eyeblink detection in RGB and Near-Infrared (NIR) individual images. Our contributed dataset (mEBAL2, mul…

cs.HC2023

Estudio de la Experiencia de Usuario mediante un Sistema de Dashboards de Análisis de Aprendizaje Multimodal

Álvaro Becerra, Roberto Daza, Ruth Cobos +2

In the article, we present a Web-based System called M2LADS, which supports the integration and visualization of multimodal data recorded in user experiences (UX) in a Learning Ana…

cs.CV2023★ 1 cited

Exploring Transformers for On-Line Handwritten Signature Verification

Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +4

The application of mobile biometrics as a user-friendly authentication method has increased in the last years. Recent studies have proposed novel behavioral biometric recognition s…

cs.IR2023★ 1 cited

Document Layout Annotation: Database and Benchmark in the Domain of Public Affairs

Alejandro Peña, Aythami Morales, Julian Fierrez +5

Every day, thousands of digital documents are generated with useful information for companies, public organizations, and citizens. Given the impossibility of processing them manual…

cs.AI2023★ 23 cited

Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs

Alejandro Peña, Aythami Morales, Julian Fierrez +5

The analysis of public affairs documents is crucial for citizens as it promotes transparency, accountability, and informed decision-making. It allows citizens to understand governm…

cs.LG2023

Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma

Daniel DeAlcala, Ignacio Serna, Aythami Morales +2

The new regulatory framework proposal on Artificial Intelligence (AI) published by the European Commission establishes a new risk-based legal approach. The proposal highlights the…

cs.HC2023★ 2 cited

M2LADS: A System for Generating MultiModal Learning Analytics Dashboards in Open Education

Álvaro Becerra, Roberto Daza, Ruth Cobos +3

In this article, we present a Web-based System called M2LADS, which supports the integration and visualization of multimodal data recorded in learning sessions in a MOOC in the for…

cs.CV2023★ 1 cited

Synthetic Data for Face Recognition: Current State and Future Prospects

Fadi Boutros, Vitomir Struc, Julian Fierrez +1

Over the past years, deep learning capabilities and the availability of large-scale training datasets advanced rapidly, leading to breakthroughs in face recognition accuracy. Howev…

cs.CR2023

Introduction to Presentation Attack Detection in Fingerprint Biometrics

Javier Galbally, Julian Fierrez, Raffaele Cappelli +1

This chapter provides an introduction to Presentation Attack Detection (PAD) in fingerprint biometrics, also coined anti-spoofing, describes early developments in this field, and b…

cs.LG2023

OTB-morph: One-Time Biometrics via Morphing

Mahdi Ghafourian, Julian Fierrez, Ruben Vera-Rodriguez +2

Cancelable biometrics are a group of techniques to transform the input biometric to an irreversible feature intentionally using a transformation function and usually a key in order…

cs.CV2023

Introduction to Presentation Attacks in Signature Biometrics and Recent Advances

Carlos Gonzalez-Garcia, Ruben Tolosana, Ruben Vera-Rodriguez +2

Applications based on biometric authentication have received a lot of interest in the last years due to the breathtaking results obtained using personal traits such as face or fing…

cs.LG2023★ 54 cited

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment

Alejandro Peña, Ignacio Serna, Aythami Morales +5

The presence of decision-making algorithms in society is rapidly increasing nowadays, while concerns about their transparency and the possibility of these algorithms becoming new s…

cs.CV2023★ 2 cited

Toward Face Biometric De-identification using Adversarial Examples

Mahdi Ghafourian, Julian Fierrez, Luis Felipe Gomez +4

The remarkable success of face recognition (FR) has endangered the privacy of internet users particularly in social media. Recently, researchers turned to use adversarial examples…

cs.CV2023★ 10 cited

Blockchain and Biometrics: Survey, GDPR Analysis, and Future Directions

Mahdi Ghafourian, Bilgesu Sumer, Ruben Vera-Rodriguez +4

Biometric recognition as an efficient and hard-to-forge way of identification and verification has become an indispensable part of the current digital world. The fast evolution of…

cs.CV2023★ 7 cited

MATT: Multimodal Attention Level Estimation for e-learning Platforms

Roberto Daza, Luis F. Gomez, Aythami Morales +4

This work presents a new multimodal system for remote attention level estimation based on multimodal face analysis. Our multimodal approach uses different parameters and signals ob…

cs.CR2023★ 10 cited

Secure access system using signature verification over tablet PC

Fernando Alonso-Fernandez, Julian Fierrez-Aguilar, Javier Ortega-Garcia +1

Low-cost portable devices capable of capturing signature signals are being increasingly used. Additionally, the social and legal acceptance of the written signature for authenticat…

cs.CV2022★ 74 cited

Evaluation of direct attacks to fingerprint verification systems

J. Galbally, J. Fierrez, F. Alonso-Fernandez +1

The vulnerabilities of fingerprint-based recognition systems to direct attacks with and without the cooperation of the user are studied. Two different systems, one minutiae-based a…

cs.HC2022★ 1 cited

edBB-Demo: Biometrics and Behavior Analysis for Online Educational Platforms

Roberto Daza, Aythami Morales, Ruben Tolosana +3

We present edBB-Demo, a demonstrator of an AI-powered research platform for student monitoring in remote education. The edBB platform aims to study the challenges associated to use…

cs.CV2022★ 7 cited

Combining multiple matchers for fingerprint verification: A case study in biosecure network of excellence

Fernando Alonso-Fernandez, Julian Fierrez-Aguilar, Hartwig Fronthaler +4

We report on experiments for the fingerprint modality conducted during the First BioSecure Residential Workshop. Two reference systems for fingerprint verification have been tested…

cs.CV2022★ 3 cited

Periocular Biometrics: A Modality for Unconstrained Scenarios

Fernando Alonso-Fernandez, Josef Bigun, Julian Fierrez +3

Periocular refers to the externally visible region of the face that surrounds the eye socket. This feature-rich area can provide accurate identification in unconstrained or uncoope…