Search Results for author:
Found 43 papers, 14 papers with code
Biometric Presentation Attack Detection: Beyond the Visible Spectrum
The increased need for unattended authentication in multiple scenarios has motivated a wide deployment of biometric systems in the last few years.
edBB: Biometrics and Behavior for Assessing Remote Education
We present a platform for student monitoring in remote education consisting of a collection of sensors and software that capture biometric and behavioral data.
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
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.
BioTouchPass2: Touchscreen Password Biometrics Using Time-Aligned Recurrent Neural Networks
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).
DeepSign: Deep On-Line Signature Verification
Deep learning has become a breathtaking technology in the last years, overcoming traditional handcrafted approaches and even humans for many different tasks.
Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic
Behavioral biometrics can be powerful tools in this fight.
ICDAR 2021 Competition on On-Line Signature Verification
This paper describes the experimental framework and results of the ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021).
SVC-onGoing: Signature Verification Competition
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.
IFBiD: Inference-Free Bias Detection
This paper is the first to explore an automatic way to detect bias in deep convolutional neural networks by simply looking at their weights.
Direct attacks using fake images in iris verification
In this contribution, the vulnerabilities of iris-based recognition systems to direct attacks are studied.
Iris Recognition Based on SIFT Features
We extract characteristic SIFT feature points in scale space and perform matching based on the texture information around the feature points using the SIFT operator.
BiosecurID: a multimodal biometric database
A new multimodal biometric database, acquired in the framework of the BiosecurID project, is presented together with the description of the acquisition setup and protocol.
A high performance fingerprint liveness detection method based on quality related features
A new software-based liveness detection approach using a novel fingerprint parameterization based on quality related features is proposed.
A Comparative Study of Fingerprint Image-Quality Estimation Methods
One of the open issues in fingerprint verification is the lack of robustness against image-quality degradation.
The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)
It is comprised of more than 600 individuals acquired simultaneously in three scenarios: 1) over the Internet, 2) in an office environment with desktop PC, and 3) in indoor/outdoor environments with mobile portable hardware.
Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms
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.
Quality Measures in Biometric Systems
Biometric technology has been increasingly deployed in the past decade, offering greater security and convenience than traditional methods of personal recognition.
Biometric Signature Verification Using Recurrent Neural Networks
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.
On the vulnerability of fingerprint verification systems to fake fingerprint attacks
A new method to generate gummy fingers is presented.
Fingerprint Liveness Detection Based on Quality Measures
A new fingerprint parameterization for liveness detection based on quality measures is presented.
On the Effects of Image Quality Degradation on Minutiae- and Ridge-Based Automatic Fingerprint Recognition
The effect of image quality degradation on the verification performance of automatic fingerprint recognition is investigated.
A review of schemes for fingerprint image quality computation
Fingerprint image quality affects heavily the performance of fingerprint recognition systems.
IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)
This paper describes the experimental framework and results of the IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C).
Sensor interoperability and fusion in signature verification: A case study using tablet PC
Several works related to information fusion for signature verification have been presented.
On-line signature verification using Tablet PC
On-line signature verification for Tablet PC devices is studied.
Leveraging Automatic Personalised Nutrition: Food Image Recognition Benchmark and Dataset based on Nutrition Taxonomy
Maintaining a healthy lifestyle has become increasingly challenging in today's sedentary society marked by poor eating habits.
edBB-Demo: Biometrics and Behavior Analysis for Online Educational Platforms
We present edBB-Demo, a demonstrator of an AI-powered research platform for student monitoring in remote education.
Fingerprint Image-Quality Estimation and its Application to Multialgorithm Verification
This is also supported by numerous experiments involving a simpler quality estimator, a trained method (NFIQ), as well as the human perception of fingerprint quality on several public databases.
Combining multiple matchers for fingerprint verification: A case study in biosecure network of excellence
Fusion experiments I volving different combinations of the available systems are presented.
Secure access system using signature verification over tablet PC
Low-cost portable devices capable of capturing signature signals are being increasingly used.
MATT: Multimodal Attention Level Estimation for e-learning Platforms
This work presents a new multimodal system for remote attention level estimation based on multimodal face analysis.
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
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 case study focused on automated recruitment: FairCVtest.
Introduction to Presentation Attacks in Signature Biometrics and Recent Advances
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 fingerprint.
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma
This risk assessment should address, among others, the detection and mitigation of bias in AI.
Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs
The analysis of public affairs documents is crucial for citizens as it promotes transparency, accountability, and informed decision-making.
Document Layout Annotation: Database and Benchmark in the Domain of Public Affairs
Every day, thousands of digital documents are generated with useful information for companies, public organizations, and citizens.
Exploring Transformers for On-Line Handwritten Signature Verification
The application of mobile biometrics as a user-friendly authentication method has increased in the last years.
AI4Food-NutritionFW: A Novel Framework for the Automatic Synthesis and Analysis of Eating Behaviours
In addition to the framework, we also provide and describe a unique food image dataset that includes 4, 800 different weekly eating behaviours from 15 different profiles and 1, 200 subjects.
Keystroke Verification Challenge (KVC): Biometric and Fairness Benchmark Evaluation
Analyzing keystroke dynamics (KD) for biometric verification has several advantages: it is among the most discriminative behavioral traits; keyboards are among the most common human-computer interfaces, being the primary means for users to enter textual data; its acquisition does not require additional hardware, and its processing is relatively lightweight; and it allows for transparently recognizing subjects.
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must be covered in more detail.
How Good is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and Explainability
In particular, we analyze the ability of ChatGPT to perform tasks such as face verification, soft-biometrics estimation, and explainability of the results.
Is my Data in your AI Model? Membership Inference Test with Application to Face Images
This paper introduces the Membership Inference Test (MINT), a novel approach that aims to empirically assess if specific data was used during the training of Artificial Intelligence (AI) models.
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
Synthetic data is gaining increasing relevance for training machine learning models.
