Search Results for author:
Found 52 papers, 23 papers with code
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.
SDFR: Synthetic Data for Face Recognition Competition
The submitted models were trained on existing and also new synthetic datasets and used clever methods to improve training with synthetic data.
Synthetic Data for the Mitigation of Demographic Biases in Face Recognition
They primarily arise from the unequal representations of demographic groups in the training data.
IEEE BigData 2023 Keystroke Verification Challenge (KVC)
Several neural architectures were proposed by the participants, leading to global Equal Error Rates (EERs) as low as 3. 33% and 3. 61% achieved by the best team respectively in the desktop and mobile scenario, outperforming the current state of the art biometric verification performance for KD.
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.
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.
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.
SaFL: Sybil-aware Federated Learning with Application to Face Recognition
Federated Learning (FL) is a machine learning paradigm to conduct collaborative learning among clients on a joint model.
Optimizing Key-Selection for Face-based One-Time Biometrics via Morphing
Nowadays, facial recognition systems are still vulnerable to adversarial attacks.
mEBAL2 Database and Benchmark: Image-based Multispectral Eyeblink Detection
This work introduces a new multispectral database and novel approaches for eyeblink detection in RGB and Near-Infrared (NIR) individual images.
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.
CareFall: Automatic Fall Detection through Wearable Devices and AI Methods
The aging population has led to a growing number of falls in our society, affecting global public health worldwide.
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.
GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variations
We generate multiple synthetic datasets by changing GANDiffFace settings, and compare their mated and non-mated score distributions with the distributions provided by popular real-world datasets for face recognition, i. e. VGG2 and IJB-C. Our results show the feasibility of the proposed GANDiffFace, in particular the use of Diffusion models to enhance the (limited) intra-class variations provided by GANs towards the level of real-world datasets.
Benchmarking of Cancelable Biometrics for Deep Templates
In this paper, we benchmark several cancelable biometrics (CB) schemes on different biometric characteristics.
Combining Blockchain and Biometrics: A Survey on Technical Aspects and a First Legal Analysis
Meanwhile, blockchain, the very attractive decentralized ledger technology, has been widely received both by the research and industry in the past years and it is being increasingly deployed nowadays in many different applications, such as money transfer, IoT, healthcare, or logistics.
OTB-morph: One-Time Biometrics via Morphing
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 to provide security and privacy in biometric recognition systems.
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.
Toward Face Biometric De-identification using Adversarial Examples
The remarkable success of face recognition (FR) has endangered the privacy of internet users particularly in social media.
TypeFormer: Transformers for Mobile Keystroke Biometrics
The broad usage of mobile devices nowadays, the sensitiveness of the information contained in them, and the shortcomings of current mobile user authentication methods are calling for novel, secure, and unobtrusive solutions to verify the users' identity.
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.
Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation, and COTS Evaluation
The role of soft biometrics to enhance person recognition systems in unconstrained scenarios has not been extensively studied.
IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)
This paper describes the experimental framework and results of the IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C).
Mobile Keystroke Biometrics Using Transformers
One of the most popular traits in the literature is keystroke dynamics due to the large deployment of computers and mobile devices in our society.
An Overview of Privacy-enhancing Technologies in Biometric Recognition
Privacy-enhancing technologies are technologies that implement fundamental data protection principles.
BehavePassDB: Public Database for Mobile Behavioral Biometrics and Benchmark Evaluation
Mobile behavioral biometrics have become a popular topic of research, reaching promising results in terms of authentication, exploiting a multimodal combination of touchscreen and background sensor data.
Exploring Transformers for Behavioural Biometrics: A Case Study in Gait Recognition
Biometrics on mobile devices has attracted a lot of attention in recent years as it is considered a user-friendly authentication method.
BioTouchPass: Handwritten Passwords for Touchscreen Biometrics
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.
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.
ECG Biometric Recognition: Review, System Proposal, and Benchmark Evaluation
In this study, we perform extensive analysis and comparison of different scenarios in ECG biometric recognition.
ChildCI Framework: Analysis of Motor and Cognitive Development in Children-Computer Interaction for Age Detection
This article presents a comprehensive analysis of the different tests proposed in the recent ChildCI framework, proving its potential for generating a better understanding of children's neuromotor and cognitive development along time, as well as their possible application in other research areas such as e-Health and e-Learning.
Mobile Behavioral Biometrics for Passive Authentication
Current mobile user authentication systems based on PIN codes, fingerprint, and face recognition have several shortcomings.
OTB-morph: One-Time Biometrics via Morphing applied to Face Templates
Cancelable biometrics refers to a group of techniques in which the biometric inputs are transformed intentionally using a key before processing or storage.
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.
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).
Child-Computer Interaction with Mobile Devices: Recent Works, New Dataset, and Age Detection
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
We study the performance of Long Short-Term Memory networks for keystroke biometric authentication at large scale in free-text scenarios.
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations
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.
Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic
Behavioral biometrics can be powerful tools in this fight.
BeCAPTCHA-Mouse: Synthetic Mouse Trajectories and Improved Bot Detection
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
Media forensics has attracted a lot of attention in the last years in part due to the increasing concerns around DeepFakes.
TypeNet: Scaling up Keystroke Biometrics
We study the suitability of keystroke dynamics to authenticate 100K users typing free-text.
Blockchain meets Biometrics: Concepts, Application to Template Protection, and Trends
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
Deep learning has become a breathtaking technology in the last years, overcoming traditional handcrafted approaches and even humans for many different tasks.
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).
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.
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection
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.
FaceGenderID: Exploiting Gender Information in DCNNs Face Recognition Systems
We observe a gap between face verification performances obtained by both gender classes.
Biometric Template Storage with Blockchain: A First Look into Cost and Performance Tradeoffs
We explore practical tradeoffs in blockchain-based biometric template storage.
Cryptography and Security
Cross-Sensor Periocular Biometrics in a Global Pandemic: Comparative Benchmark and Novel Multialgorithmic Approach
Experiments are also reported with a database of VIS images from different smartphones.
SensitiveNets: Learning Agnostic Representations with Application to Face Images
Our method is based on an adversarial regularizer that introduces a sensitive information removal function in the learning objective.
MultiLock: Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns
In this paper we evaluate mobile active authentication based on an ensemble of biometrics and behavior-based profiling signals.
