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Found 91 papers, 11 papers with code
SynMorph: Generating Synthetic Face Morphing Dataset with Mated Samples
Face morphing attack detection (MAD) algorithms have become essential to overcome the vulnerability of face recognition systems.
On the Feasibility of Creating Iris Periocular Morphed Images
In the last few years, face morphing has been shown to be a complex challenge for Face Recognition Systems (FRS).
Fairness measures for biometric quality assessment
Quality assessment algorithms measure the quality of a captured biometric sample.
Generating Automatically Print/Scan Textures for Morphing Attack Detection Applications
Morphing Attack Detection (MAD) is a relevant topic that aims to detect attempts by unauthorised individuals to access a "valid" identity.
Towards Inclusive Face Recognition Through Synthetic Ethnicity Alteration
Numerous studies have shown that existing Face Recognition Systems (FRS), including commercial ones, often exhibit biases toward certain ethnicities due to under-represented data.
A Comparison of Differential Performance Metrics for the Evaluation of Automatic Speaker Verification Fairness
When decisions are made and when personal data is treated by automated processes, there is an expectation of fairness -- that members of different demographic groups receive equitable treatment.
Impact of Synthetic Images on Morphing Attack Detection Using a Siamese Network
Our results show that MAD trained on EfficientNetB0 from FERET, FRGCv2, and FRLL can reach a lower error rate in comparison with SOTA.
Efficient Expression Neutrality Estimation with Application to Face Recognition Utility Prediction
The recognition performance of biometric systems strongly depends on the quality of the compared biometric samples.
Double Trouble? Impact and Detection of Duplicates in Face Image Datasets
Additional steps based on face recognition and face image quality assessment models reduce false positives, and facilitate the deduplication of the face images both for intra- and inter-subject duplicate sets.
TetraLoss: Improving the Robustness of Face Recognition against Morphing Attacks
Face recognition systems are widely deployed in high-security applications such as for biometric verification at border controls.
Robust Sclera Segmentation for Skin-tone Agnostic Face Image Quality Assessment
Face image quality assessment (FIQA) is crucial for obtaining good face recognition performance.
EGAIN: Extended GAn INversion
In this work, EGAIN, an architecture for constructing GAN inversion models, is presented.
General Framework to Evaluate Unlinkability in Biometric Template Protection Systems
The wide deployment of biometric recognition systems in the last two decades has raised privacy concerns regarding the storage and use of biometric data.
Log-Likelihood Score Level Fusion for Improved Cross-Sensor Smartphone Periocular Recognition
The proliferation of cameras and personal devices results in a wide variability of imaging conditions, producing large intra-class variations and a significant performance drop when images from heterogeneous environments are compared.
Iris Liveness Detection Competition (LivDet-Iris) -- The 2023 Edition
New elements in this fifth competition include (1) GAN-generated iris images as a category of presentation attack instruments (PAI), and (2) an evaluation of human accuracy at detecting PAI as a reference benchmark.
Privacy-preserving Multi-biometric Indexing based on Frequent Binary Patterns
In the context of privacy protection, several template protection schemes have been proposed in the past.
Reversing Deep Face Embeddings with Probable Privacy Protection
Generally, privacy-enhancing face recognition systems are designed to offer permanent protection of face embeddings.
Optimizing Key-Selection for Face-based One-Time Biometrics via Morphing
Nowadays, facial recognition systems are still vulnerable to adversarial attacks.
NeutrEx: A 3D Quality Component Measure on Facial Expression Neutrality
Accurate face recognition systems are increasingly important in sensitive applications like border control or migration management.
Benchmarking fixed-length Fingerprint Representations across different Embedding Sizes and Sensor Types
We also study the impact in terms of recognition performance of the fingerprint textural information for two sensor types, i. e. optical and capacitive.
Towards minimizing efforts for Morphing Attacks -- Deep embeddings for morphing pair selection and improved Morphing Attack Detection
The results endorse the advantages of face embeddings in more effective image pre-selection for face morphing and accurate detection of morphed face images.
MCLFIQ: Mobile Contactless Fingerprint Image Quality
In experiments, the MCLFIQ method is compared against the original NFIQ 2. 2 method, a sharpness-based quality assessment algorithm developed for contactless fingerprint images \rev{and the general purpose image quality assessment method BRISQUE.
Face Feature Visualisation of Single Morphing Attack Detection
This paper proposes an explainable visualisation of different face feature extraction algorithms that enable the detection of bona fide and morphing images for single morphing attack detection.
Flickr-PAD: New Face High-Resolution Presentation Attack Detection Database
This will help researchers to compare new approaches to existing algorithms on a wider database.
A Latent Fingerprint in the Wild Database
Further, existing databases for latent fingerprint recognition do not have a large number of unique subjects/fingerprint instances or do not provide ground truth/reference fingerprint images to conduct a cross-comparison against the latent.
Considerations on the Evaluation of Biometric Quality Assessment Algorithms
Additionally, a discard fraction limit or range must be selected to compute pAUC values, which can then be used to quantitatively rank quality assessment algorithms.
Deep Learning in the Field of Biometric Template Protection: An Overview
Biometric systems utilising deep learning have been shown to achieve auspicious recognition accuracy, surpassing human performance.
Pose Impact Estimation on Face Recognition using 3D-Aware Synthetic Data with Application to Quality Assessment
Evaluating the quality of facial images is essential for operating face recognition systems with sufficient accuracy.
Benchmarking of Cancelable Biometrics for Deep Templates
In this paper, we benchmark several cancelable biometrics (CB) schemes on different biometric characteristics.
Effect of Lossy Compression Algorithms on Face Image Quality and Recognition
This work investigates the effect of lossy image compression on a state-of-the-art face recognition model, and on multiple face image quality assessment models.
SRTGAN: Triplet Loss based Generative Adversarial Network for Real-World Super-Resolution
We introduce a new triplet-based adversarial loss function that exploits the information provided in the LR image by using it as a negative sample.
Synthetic ID Card Image Generation for Improving Presentation Attack Detection
Currently, it is ever more common to access online services for activities which formerly required physical attendance.
Towards an efficient Iris Recognition System on Embedded Devices
Iris Recognition (IR) is one of the market's most reliable and accurate biometric systems.
Impact of Face Image Quality Estimation on Presentation Attack Detection
In this paper, we study the effect of quality assessment methods on filtering bona fide and attack samples, their impact on PAD systems, and how the performance of such systems is improved when training on a filtered (by quality) dataset.
Learning to Predict Fitness for Duty using Near Infrared Periocular Iris Images
This research proposes a new database and method to detect the reduction of alertness conditions due to alcohol, drug consumption and sleepiness deprivation from Near-Infra-Red (NIR) periocular eye images.
Alcohol Consumption Detection from Periocular NIR Images Using Capsule Network
This research proposes a method to detect alcohol consumption from Near-Infra-Red (NIR) periocular eye images.
Synthetic Data in Human Analysis: A Survey
This survey is intended for researchers and practitioners in the field of human analysis.
Time flies by: Analyzing the Impact of Face Ageing on the Recognition Performance with Synthetic Data
The vast progress in synthetic image synthesis enables the generation of facial images in high resolution and photorealism.
Single Morphing Attack Detection using Siamese Network and Few-shot Learning
This paper proposes a framework following the Few-Shot-Learning approach that shares image information based on the siamese network using triplet-semi-hard-loss to tackle the morphing attack detection and boost the clustering classification process.
An Overview of Privacy-enhancing Technologies in Biometric Recognition
Privacy-enhancing technologies are technologies that implement fundamental data protection principles.
Morphing Attack Potential
In security systems the risk assessment in the sense of common criteria testing is a very relevant topic; this requires quantifying the attack potential in terms of the expertise of the attacker, his knowledge about the target and access to equipment.
Analyzing Human Observer Ability in Morphing Attack Detection -- Where Do We Stand?
One prevalent misconception is that an examiner's or observer's capacity for facial morph detection depends on their subject expertise, experience, and familiarity with the issue and that no works have reported the specific results of observers who regularly verify identity (ID) documents for their jobs.
Fun Selfie Filters in Face Recognition: Impact Assessment and Removal
This work investigates the impact of fun selfie filters, which are frequently used to modify selfies, on face recognition systems.
Face Beneath the Ink: Synthetic Data and Tattoo Removal with Application to Face Recognition
Moreover, we demonstrate the feasibility of the generation by using a deep learning-based model for removing tattoos from face images.
Crowd-powered Face Manipulation Detection: Fusing Human Examiner Decisions
To this end, various decision fusion methods are proposed incorporating the examiners' decision confidence, experience level, and their time to take a decision.
Psychophysical Evaluation of Human Performance in Detecting Digital Face Image Manipulations
In recent years, increasing deployment of face recognition technology in security-critical settings, such as border control or law enforcement, has led to considerable interest in the vulnerability of face recognition systems to attacks utilising legitimate documents, which are issued on the basis of digitally manipulated face images.
Reliable Detection of Doppelgängers based on Deep Face Representations
Doppelg\"angers (or lookalikes) usually yield an increased probability of false matches in a facial recognition system, as opposed to random face image pairs selected for non-mated comparison trials.
Generation of Non-Deterministic Synthetic Face Datasets Guided by Identity Priors
Mated samples are generated by manipulating latent vectors, and more precisely, we exploit Principal Component Analysis (PCA) to define semantically meaningful directions in the latent space and control the similarity between the original and the mated samples using a pre-trained face recognition system.
Towards an Efficient Semantic Segmentation Method of ID Cards for Verification Systems
The best results for the fused multi-country dataset of ID Card images from Chile, Argentina and Mexico reached an IoU of 0. 9911.
An Attack on Facial Soft-biometric Privacy Enhancement
Future works on privacy-enhancing face recognition are encouraged to include the proposed attack in evaluations on the privacy protection.
Algorithmic Fairness in Face Morphing Attack Detection
In this paper, we study and present a comprehensive analysis of algorithmic fairness of the existing Single image-based Morph Attack Detection (S-MAD) algorithms.
FRT-PAD: Effective Presentation Attack Detection Driven by Face Related Task
The proposed method, first introduces task specific features from other face related task, then, we design a Cross-Modal Adapter using a Graph Attention Network (GAT) to re-map such features to adapt to PAD task.
Single Morphing Attack Detection using Feature Selection and Visualisation based on Mutual Information
Face morphing attack detection is a challenging task.
SynCoLFinGer: Synthetic Contactless Fingerprint Generator
We present the first method for synthetic generation of contactless fingerprint images, referred to as SynCoLFinGer.
Differential Anomaly Detection for Facial Images
Due to their convenience and high accuracy, face recognition systems are widely employed in governmental and personal security applications to automatically recognise individuals.
Multilingual Audio-Visual Smartphone Dataset And Evaluation
This new dataset contains 103 subjects captured in three different sessions considering the different real-world scenarios.
Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection
Protection of the biometric probe templates, as well as the stored reference templates and the created index is carried out using homomorphic encryption.
Synthetic Periocular Iris PAI from a Small Set of Near-Infrared-Images
Such results demonstrated the feasibility of synthetic images to fool presentation attacks detection algorithms and the need for such algorithms to be constantly updated and trained with a larger number of images and PAI scenarios.
Semantic Segmentation of Periocular Near-Infra-Red Eye Images Under Alcohol Effects
The purpose of the system is to measure the fitness for duty.
Demographic Fairness in Face Identification: The Watchlist Imbalance Effect
Recently, different researchers have found that the gallery composition of a face database can induce performance differentials to facial identification systems in which a probe image is compared against up to all stored reference images to reach a biometric decision.
Demographic Fairness in Biometric Systems: What do the Experts say?
Algorithmic decision systems have frequently been labelled as "biased", "racist", "sexist", or "unfair" by numerous media outlets, organisations, and researchers.
Iris Liveness Detection using a Cascade of Dedicated Deep Learning Networks
The bona fide class consists of live iris images, whereas the attack presentation instrument classes are comprised of cadaver, printed, and contact lenses images, for a total of four scenarios.
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
As the quality of mobile cameras starts to play a crucial role in modern smartphones, more and more attention is now being paid to ISP algorithms used to improve various perceptual aspects of mobile photos.
On the Applicability of Synthetic Data for Face Recognition
Face verification has come into increasing focus in various applications including the European Entry/Exit System, which integrates face recognition mechanisms.
Impact of Facial Tattoos and Paintings on Face Recognition Systems
In this work, we investigate the impact that facial tattoos and paintings have on current face recognition systems.
Effects of Image Compression on Face Image Manipulation Detection: A Case Study on Facial Retouching
Results obtained from challenging cross-database experiments in which the analyzed retouching technique is unknown during training yield interesting findings: (1) most competitive detection performance is achieved for differential scenarios employing deep face representations; (2) image compression severely impacts the performance of face image manipulation detection schemes based on texture descriptors while methods utilizing deep face representations are found to be highly robust; (3) in some cases, the application of image compression might as well improve detection performance.
Signal-level Fusion for Indexing and Retrieval of Facial Biometric Data
The growing scope, scale, and number of biometric deployments around the world emphasise the need for research into technologies facilitating efficient and reliable biometric identification queries.
Mobile Touchless Fingerprint Recognition: Implementation, Performance and Usability Aspects
We provide a comprehensive description of the entire recognition pipeline and discuss important requirements for a fully automated capturing system.
On the Generalisation Capabilities of Fisher Vector based Face Presentation Attack Detection
In order to mitigate those security concerns, most face Presentation Attack Detection techniques have reported a good detection performance when they are evaluated on known Presentation Attack Instruments (PAI) and acquisition conditions, in contrast to more challenging scenarios where unknown attacks are included in the test set.
Biometrics in the Era of COVID-19: Challenges and Opportunities
Since early 2020 the COVID-19 pandemic has had a considerable impact on many aspects of daily life.
Selfie Periocular Verification using an Efficient Super-Resolution Approach
Selfie-based biometrics has great potential for a wide range of applications since, e. g. periocular verification is contactless and is safe to use in pandemics such as COVID-19, when a major portion of a face is covered by a facial mask.
Face Morphing Attack Generation & Detection: A Comprehensive Survey
The vulnerability of Face Recognition System (FRS) to various kind of attacks (both direct and in-direct attacks) and face morphing attacks has received a great interest from the biometric community.
On the Generalisation Capabilities of Fingerprint Presentation Attack Detection Methods in the Short Wave Infrared Domain
Therefore, presentation attack detection (PAD) methods are of utmost importance in order to distinguish between bona fide and attack presentations.
Texture-based Presentation Attack Detection for Automatic Speaker Verification
Despite these and other advantages, biometric systems in general and Automatic speaker verification (ASV) systems in particular can be vulnerable to attack presentations.
MIPGAN -- Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN
Extensive experiments are carried out to assess the FRS's vulnerability against the proposed morphed face generation technique on three types of data such as digital images, re-digitized (printed and scanned) images, and compressed images after re-digitization from newly generated MIPGAN Face Morph Dataset.
Face Image Quality Assessment: A Literature Survey
The performance of face analysis and recognition systems depends on the quality of the acquired face data, which is influenced by numerous factors.
Anomaly Detection with Convolutional Autoencoders for Fingerprint Presentation Attack Detection
In recent years, the popularity of fingerprint-based biometric authentication systems significantly increased.
Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? -- Vulnerability and Detection
\textit{(i) Can GAN generated morphs threaten Face Recognition Systems (FRS) equally as Landmark based morphs?}
On the Influence of Ageing on Face Morph Attacks: Vulnerability and Detection
To this extent, we have introduced a new morphed face dataset with ageing derived from the publicly available MORPH II face dataset, which we refer to as MorphAge dataset.
Deep Learning-based Single Image Face Depth Data Enhancement
All tested enhancer types exclusively use depth data as input, which differs from methods that enhance depth based on additional input data such as visible light color images.
Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking
Further, we present a new online evaluation platform to test algorithms on sequestered data.
Detection of Makeup Presentation Attacks based on Deep Face Representations
Facial cosmetics have the ability to substantially alter the facial appearance, which can negatively affect the decisions of a face recognition.
Morton Filters for Superior Template Protection for Iris Recognition
To this end, we propose and extend our earlier ideas of Morton-filters for obtaining better and reliable templates for iris.
Deep Face Representations for Differential Morphing Attack Detection
In addition, the application of deep face representations for differential morphing attack detection algorithms is investigated.
Cryptography and Security
Smartphone Multi-modal Biometric Authentication: Database and Evaluation
One of the unique features of this dataset is that it is collected in four different geographic locations representing a diverse population and ethnicity.
Robust Morph-Detection at Automated Border Control Gate using Deep Decomposed 3D Shape and Diffuse Reflectance
Face recognition is widely employed in Automated Border Control (ABC) gates, which verify the face image on passport or electronic Machine Readable Travel Document (eMTRD) against the captured image to confirm the identity of the passport holder.
Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition
We establish the superiority of the proposed approach by benchmarking it with classical textural feature-descriptor applied directly on finger-vein images.
Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks
Fingerprint-based biometric systems have experienced a large development in the last years.
Sex-Prediction from Periocular Images across Multiple Sensors and Spectra
In this paper, we provide a comprehensive analysis of periocular-based sex-prediction (commonly referred to as gender classification) using state-of-the-art machine learning techniques.
Relevant features for Gender Classification in NIR Periocular Images
In this work, we analyze and demonstrate the location of the most relevant features that describe gender in periocular NIR images and evaluate its influence its classification.
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.
