Search Results for author: Julian Fierrez

Found 61 papers, 22 papers with code

Biometric Signature Verification Using Recurrent Neural Networks

no code implementations3 May 2022 Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia

Architectures based on Recurrent Neural Networks (RNNs) have been successfully applied to many different tasks such as speech or handwriting recognition with state-of-the-art results.

Handwriting Recognition

BioTouchPass: Handwritten Passwords for Touchscreen Biometrics

1 code implementation3 May 2022 Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez

A complete analysis of our proposed biometric system is carried out regarding the discriminative power of each handwritten digit and the robustness when increasing the length of the password and the number of enrolment samples.

Super-Resolution for Selfie Biometrics: Introduction and Application to Face and Iris

no code implementations12 Apr 2022 Fernando Alonso-Fernandez, Reuben A. Farrugia, Julian Fierrez, Josef Bigun

Such techniques are designed to restore generic images and therefore do not exploit the specific structure found in biometric images (e. g. iris or faces), which causes the solution to be sub-optimal.

Super-Resolution

Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health

no code implementations24 Feb 2022 Marcos Faundez-Zanuy, Julian Fierrez, Miguel A. Ferrer, Moises Diaz, Ruben Tolosana, Réjean Plamondon

Background- This paper summarizes the state-of-the-art and applications based on online handwritting signals with special emphasis on e-security and e-health fields.

FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment

1 code implementation3 Jan 2022 Javier Hernandez-Ortega, Julian Fierrez, Ignacio Serna, Aythami Morales

This comparison shows that, even though FaceQgen does not surpass the best existing face quality assessment methods in terms of face recognition accuracy prediction, it achieves good enough results to demonstrate the potential of semi-supervised learning approaches for quality estimation (in particular, data-driven learning based on a single high quality image per subject), having the capacity to improve its performance in the future with adequate refinement of the model and the significant advantage over competing methods of not needing quality labels for its development.

Face Recognition Image Quality Assessment +2

ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning

no code implementations16 Dec 2021 Roberto Daza, Daniel DeAlcala, Aythami Morales, Ruben Tolosana, Ruth Cobos, Julian Fierrez

The experimental framework is carried out using a public multimodal database for eye blink detection and attention level estimation called mEBAL, which comprises data from 38 students and multiples acquisition sensors, in particular, i) an electroencephalogram (EEG) band which provides the time signals coming from the student's cognitive information, and ii) RGB and NIR cameras to capture the students face gestures.

EEG

OTB-morph: One-Time Biometrics via Morphing applied to Face Templates

no code implementations25 Nov 2021 Mahdi Ghafourian, Julian Fierrez, Ruben Vera-Rodriguez, Ignacio Serna, Aythami Morales

Cancelable biometrics refers to a group of techniques in which the biometric inputs are transformed intentionally using a key before processing or storage.

Introduction to Presentation Attack Detection in Iris Biometrics and Recent Advances

no code implementations24 Nov 2021 Aythami Morales, Julian Fierrez, Javier Galbally, Marta Gomez-Barrero

Iris recognition technology has attracted an increasing interest in the last decades in which we have witnessed a migration from research laboratories to real world applications.

Iris Recognition

Introduction to Presentation Attack Detection in Face Biometrics and Recent Advances

no code implementations23 Nov 2021 Javier Hernandez-Ortega, Julian Fierrez, Aythami Morales, Javier Galbally

The main scope of this chapter is to serve as an introduction to face presentation attack detection, including key resources and advances in the field in the last few years.

Face Presentation Attack Detection Face Recognition

Quality Measures in Biometric Systems

no code implementations17 Nov 2021 Fernando Alonso-Fernandez, Julian Fierrez, Javier Ortega-Garcia

Biometric technology has been increasingly deployed in the past decade, offering greater security and convenience than traditional methods of personal recognition.

Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms

no code implementations17 Nov 2021 Norman Poh, Thirimachos Bourlai, Josef Kittler, Lorene Allano, Fernando Alonso-Fernandez, Onkar Ambekar, John Baker, Bernadette Dorizzi, Omolara Fatukasi, Julian Fierrez, Harald Ganster, Javier Ortega-Garcia, Donald Maurer, Albert Ali Salah, Tobias Scheidat, Claus Vielhauer

The cost-sensitive evaluation, on the other hand, investigates how well a fusion algorithm can perform given restricted computation and in the presence of software and hardware failures, resulting in errors such as failure-to-acquire and failure-to-match.

FaceQvec: Vector Quality Assessment for Face Biometrics based on ISO Compliance

no code implementations3 Nov 2021 Javier Hernandez-Ortega, Julian Fierrez, Luis F. Gomez, Aythami Morales, Jose Luis Gonzalez-de-Suso, Francisco Zamora-Martinez

In this paper we develop FaceQvec, a software component for estimating the conformity of facial images with each of the points contemplated in the ISO/IEC 19794-5, a quality standard that defines general quality guidelines for face images that would make them acceptable or unacceptable for use in official documents such as passports or ID cards.

Face Recognition

A high performance fingerprint liveness detection method based on quality related features

no code implementations2 Nov 2021 Javier Galbally, Fernando Alonso-Fernandez, Julian Fierrez, Javier Ortega-Garcia

A new software-based liveness detection approach using a novel fingerprint parameterization based on quality related features is proposed.

IFBiD: Inference-Free Bias Detection

1 code implementation9 Sep 2021 Ignacio Serna, Daniel DeAlcala, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia

This paper is the first to explore an automatic way to detect bias in deep convolutional neural networks by simply looking at their weights.

Bias Detection

SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing Interpretation

no code implementations2 Sep 2021 Aythami Morales, Julian Fierrez, Alejandro Acien, Ruben Tolosana, Ignacio Serna

This work presents a new deep learning approach for keystroke biometrics based on a novel Distance Metric Learning method (DML).

Metric Learning

SVC-onGoing: Signature Verification Competition

1 code implementation13 Aug 2021 Ruben Tolosana, Ruben Vera-Rodriguez, Carlos Gonzalez-Garcia, Julian Fierrez, Aythami Morales, Javier Ortega-Garcia, Juan Carlos Ruiz-Garcia, Sergio Romero-Tapiador, Santiago Rengifo, Miguel Caruana, Jiajia Jiang, Songxuan Lai, Lianwen Jin, Yecheng Zhu, Javier Galbally, Moises Diaz, Miguel Angel Ferrer, Marta Gomez-Barrero, Ilya Hodashinsky, Konstantin Sarin, Artem Slezkin, Marina Bardamova, Mikhail Svetlakov, Mohammad Saleem, Cintia Lia Szucs, Bence Kovari, Falk Pulsmeyer, Mohamad Wehbi, Dario Zanca, Sumaiya Ahmad, Sarthak Mishra, Suraiya Jabin

This article presents SVC-onGoing, an on-going competition for on-line signature verification where researchers can easily benchmark their systems against the state of the art in an open common platform using large-scale public databases, such as DeepSignDB and SVC2021_EvalDB, and standard experimental protocols.

A Comprehensive Study on Face Recognition Biases Beyond Demographics

no code implementations2 Mar 2021 Philipp Terhörst, Jan Niklas Kolf, Marco Huber, Florian Kirchbuchner, Naser Damer, Aythami Morales, Julian Fierrez, Arjan Kuijper

However, to enable a trustworthy FR technology, it is essential to know the influence of an extended range of facial attributes on FR beyond demographics.

Decision Making Face Recognition

Child-Computer Interaction with Mobile Devices: Recent Works, New Dataset, and Age Detection

no code implementations2 Feb 2021 Ruben Tolosana, Juan Carlos Ruiz-Garcia, Ruben Vera-Rodriguez, Jaime Herreros-Rodriguez, Sergio Romero-Tapiador, Aythami Morales, Julian Fierrez

This article provides an overview of recent research in Child-Computer Interaction with mobile devices and describe our framework ChildCI intended for: i) overcoming the lack of large-scale publicly available databases in the area, ii) generating a better understanding of the cognitive and neuromotor development of children along time, contrary to most previous studies in the literature focused on a single-session acquisition, and iii) enabling new applications in e-Learning and e-Health through the acquisition of additional information such as the school grades and children's disorders, among others.

TypeNet: Deep Learning Keystroke Biometrics

1 code implementation14 Jan 2021 Alejandro Acien, Aythami Morales, John V. Monaco, Ruben Vera-Rodriguez, Julian Fierrez

We study the performance of Long Short-Term Memory networks for keystroke biometric authentication at large scale in free-text scenarios.

Exploring Facial Expressions and Affective Domains for Parkinson Detection

no code implementations11 Dec 2020 Luis Felipe Gomez-Gomez, Aythami Morales, Julian Fierrez, Juan Rafael Orozco-Arroyave

The principal contributions of this work are: (1) a novel framework to exploit deep face architectures to model hypomimia in PD patients; (2) we experimentally compare PD detection based on single images vs. image sequences while the patients are evoked various face expressions; (3) we explore different domain adaptation techniques to exploit existing models initially trained either for Face Recognition or to detect FAUs for the automatic discrimination between PD patients and healthy subjects; and (4) a new approach to use triplet-loss learning to improve hypomimia modeling and PD detection.

Domain Adaptation Face Recognition

Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment

no code implementations1 Dec 2020 Alfonso Ortega, Julian Fierrez, Aythami Morales, Zilong Wang, Tony Ribeiro

Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning.

Inductive logic programming

Facial Expressions as a Vulnerability in Face Recognition

no code implementations17 Nov 2020 Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fierrez, Agata Lapedriza

This work explores facial expression bias as a security vulnerability of face recognition systems.

Face Recognition

Are Adaptive Face Recognition Systems still Necessary? Experiments on the APE Dataset

1 code implementation8 Oct 2020 Giulia Orrù, Marco Micheletto, Julian Fierrez, Gian Luca Marcialis

In the last five years, deep learning methods, in particular CNN, have attracted considerable attention in the field of face-based recognition, achieving impressive results.

Face Recognition

Learning Emotional-Blinded Face Representations

no code implementations18 Sep 2020 Alejandro Peña, Julian Fierrez, Agata Lapedriza, Aythami Morales

We propose two face representations that are blind to facial expressions associated to emotional responses.

Emotion Recognition Fairness

DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations

no code implementations14 Sep 2020 Ruben Tolosana, Paula Delgado-Santos, Andres Perez-Uribe, Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales

These two properties give a lot of flexibility to our synthesiser, e. g., as shown in our experiments, DeepWriteSYN can generate realistic handwriting variations of a given handwritten structure corresponding to the natural variation within a given population or a given subject.

Handwriting generation One-Shot Learning

FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment

no code implementations12 Sep 2020 Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fierrez

With the aim of studying how current multimodal AI algorithms based on heterogeneous sources of information are affected by sensitive elements and inner biases in the data, this demonstrator experiments over an automated recruitment testbed based on Curriculum Vitae: FairCVtest.

Decision Making

Face Image Quality Assessment: A Literature Survey

no code implementations2 Sep 2020 Torsten Schlett, Christian Rathgeb, Olaf Henniger, Javier Galbally, Julian Fierrez, Christoph Busch

The performance of face analysis and recognition systems depends on the quality of the acquired face data, which is influenced by numerous factors.

Face Recognition Image Quality Assessment

Quickest Intruder Detection for Multiple User Active Authentication

no code implementations21 Jun 2020 Pramuditha Perera, Julian Fierrez, Vishal M. Patel

In this paper, we investigate how to detect intruders with low latency for Active Authentication (AA) systems with multiple-users.

Change Detection

Biometric Quality: Review and Application to Face Recognition with FaceQnet

1 code implementation5 Jun 2020 Javier Hernandez-Ortega, Javier Galbally, Julian Fierrez, Laurent Beslay

After a gentle introduction to the general topic of biometric quality and a review of past efforts in face quality metrics, in the present work, we address the need for better face quality metrics by developing FaceQnet.

Face Recognition

A Comparative Evaluation of Heart Rate Estimation Methods using Face Videos

no code implementations22 May 2020 Javier Hernandez-Ortega, Julian Fierrez, Aythami Morales, David Diaz

This paper presents a comparative evaluation of methods for remote heart rate estimation using face videos, i. e., given a video sequence of the face as input, methods to process it to obtain a robust estimation of the subjects heart rate at each moment.

Heart rate estimation

BeCAPTCHA-Mouse: Synthetic Mouse Trajectories and Improved Bot Detection

2 code implementations2 May 2020 Alejandro Acien, Aythami Morales, Julian Fierrez, Ruben Vera-Rodriguez

We propose two new mouse trajectory synthesis methods for generating realistic data: a) a function-based method based on heuristic functions, and b) a data-driven method based on Generative Adversarial Networks (GANs) in which a Generator synthesizes human-like trajectories from a Gaussian noise input.

DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance

no code implementations16 Apr 2020 Ruben Tolosana, Sergio Romero-Tapiador, Julian Fierrez, Ruben Vera-Rodriguez

Media forensics has attracted a lot of attention in the last years in part due to the increasing concerns around DeepFakes.

Face Swapping

Bias in Multimodal AI: Testbed for Fair Automatic Recruitment

1 code implementation15 Apr 2020 Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fierrez

With the aim of studying how current multimodal algorithms based on heterogeneous sources of information are affected by sensitive elements and inner biases in the data, we propose a fictitious automated recruitment testbed: FairCVtest.

Decision Making Person Recognition

InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics

no code implementations14 Apr 2020 Ignacio Serna, Alejandro Peña, Aythami Morales, Julian Fierrez

We analyze how bias affects deep learning processes through a toy example using the MNIST database and a case study in gender detection from face images.

Bias Detection

Blockchain in the Internet of Things: Architectures and Implementation

no code implementations13 Apr 2020 Oscar Delgado-Mohatar, Ruben Tolosana, Julian Fierrez, Aythami Morales

The world is becoming more interconnected every day.

Cryptography and Security Computers and Society

TypeNet: Scaling up Keystroke Biometrics

no code implementations7 Apr 2020 Alejandro Acien, John V. Monaco, Aythami Morales, Ruben Vera-Rodriguez, Julian Fierrez

We study the suitability of keystroke dynamics to authenticate 100K users typing free-text.

Blockchain meets Biometrics: Concepts, Application to Template Protection, and Trends

1 code implementation19 Mar 2020 Oscar Delgado-Mohatar, Julian Fierrez, Ruben Tolosana, Ruben Vera-Rodriguez

Blockchain technologies provide excellent architectures and practical tools for securing and managing the sensitive and private data stored in biometric templates, but at a cost.

DeepSign: Deep On-Line Signature Verification

1 code implementation24 Feb 2020 Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia

Deep learning has become a breathtaking technology in the last years, overcoming traditional handcrafted approaches and even humans for many different tasks.

Dynamic Time Warping

BioTouchPass2: Touchscreen Password Biometrics Using Time-Aligned Recurrent Neural Networks

1 code implementation28 Jan 2020 Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia

ii) We perform a complete analysis of the proposed approach considering both traditional authentication systems such as Dynamic Time Warping (DTW) and novel approaches based on Recurrent Neural Networks (RNNs).

Dynamic Time Warping

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

2 code implementations1 Jan 2020 Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales, Javier Ortega-Garcia

The free access to large-scale public databases, together with the fast progress of deep learning techniques, in particular Generative Adversarial Networks, have led to the generation of very realistic fake content with its corresponding implications towards society in this era of fake news.

DeepFake Detection Face Generation +1

edBB: Biometrics and Behavior for Assessing Remote Education

1 code implementation10 Dec 2019 Javier Hernandez-Ortega, Roberto Daza, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia

We present a platform for student monitoring in remote education consisting of a collection of sensors and software that capture biometric and behavioral data.

EEG

Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics

1 code implementation4 Dec 2019 Ignacio Serna, Aythami Morales, Julian Fierrez, Manuel Cebrian, Nick Obradovich, Iyad Rahwan

We experimentally show that demographic groups highly represented in popular face databases have led to popular pre-trained deep face models presenting strong algorithmic discrimination.

Face Recognition

GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection

2 code implementations13 Nov 2019 João C. Neves, Ruben Tolosana, Ruben Vera-Rodriguez, Vasco Lopes, Hugo Proença, Julian Fierrez

The availability of large-scale facial databases, together with the remarkable progresses of deep learning technologies, in particular Generative Adversarial Networks (GANs), have led to the generation of extremely realistic fake facial content, raising obvious concerns about the potential for misuse.

Face Generation

Quality-based Pulse Estimation from NIR Face Video with Application to Driver Monitoring

no code implementations16 May 2019 Javier Hernandez-Ortega, Shigenori Nagae, Julian Fierrez, Aythami Morales

In this paper we develop a robust for heart rate (HR) estimation method using face video for challenging scenarios with high variability sources such as head movement, illumination changes, vibration, blur, etc.

Biometric Template Storage with Blockchain: A First Look into Cost and Performance Tradeoffs

no code implementations30 Apr 2019 Oscar Delgado-Mohatar, Julian Fierrez, Ruben Tolosana, Ruben Vera-Rodriguez

We explore practical tradeoffs in blockchain-based biometric template storage.

Cryptography and Security

FaceQnet: Quality Assessment for Face Recognition based on Deep Learning

3 code implementations3 Apr 2019 Javier Hernandez-Ortega, Javier Galbally, Julian Fierrez, Rudolf Haraksim, Laurent Beslay

Several conclusions can be drawn from this work, most notably: 1) we managed to employ an existing ICAO compliance framework and a pretrained CNN to automatically label data with quality information, 2) we trained FaceQnet for quality estimation by fine-tuning a pre-trained face recognition network (ResNet-50), and 3) we have shown that the predictions from FaceQnet are highly correlated with the face recognition accuracy of a state-of-the-art commercial system not used during development.

Face Recognition

SensitiveNets: Learning Agnostic Representations with Application to Face Images

1 code implementation1 Feb 2019 Aythami Morales, Julian Fierrez, Ruben Vera-Rodriguez, Ruben Tolosana

Our method is based on an adversarial regularizer that introduces a sensitive information removal function in the learning objective.

Face Recognition Fairness +2

MultiLock: Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns

no code implementations29 Jan 2019 Alejandro Acien, Aythami Morales, Ruben Vera-Rodriguez, Julian Fierrez

In this paper we evaluate mobile active authentication based on an ensemble of biometrics and behavior-based profiling signals.

Improving Automated Latent Fingerprint Identification using Extended Minutia Types

no code implementations23 Oct 2018 Ram P. Krish, Julian Fierrez, Daniel Ramos, Fernando Alonso-Fernandez, Josef Bigun

We report significant improvements in the rank identification accuracies when these minutiae matchers are augmented with our proposed algorithm based on rare minutiae features.

Cannot find the paper you are looking for? You can Submit a new open access paper.