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Found 46 papers, 6 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.
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.
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.
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.
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.
Reversing Deep Face Embeddings with Probable Privacy Protection
Generally, privacy-enhancing face recognition systems are designed to offer permanent protection of face embeddings.
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.
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.
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.
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.
Child Face Recognition at Scale: Synthetic Data Generation and Performance Benchmark
To this end, we proposed a processing pipeline that initially utilizes StyleGAN3 to sample adult subjects, which are subsequently progressed to children of varying ages using InterFaceGAN.
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.
Multi-Biometric Fuzzy Vault based on Face and Fingerprints
The fuzzy vault scheme has been established as cryptographic primitive suitable for privacy-preserving biometric authentication.
State of the Art of Quality Assessment of Facial Images
The goal of the project "Facial Metrics for EES" is to develop, implement and publish an open source algorithm for the quality assessment of facial images (OFIQ) for face recognition, in particular for border control scenarios. 1 In order to stimulate the harmonization of the requirements and practices applied for QA for facial images, the insights gained and algorithms developed in the project will be contributed to the current (2022) revision of the ISO/IEC 29794-5 standard.
Synthetic Data in Human Analysis: A Survey
This survey is intended for researchers and practitioners in the field of human analysis.
An Overview of Privacy-enhancing Technologies in Biometric Recognition
Privacy-enhancing technologies are technologies that implement fundamental data protection principles.
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.
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.
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.
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.
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.
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.
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.
Deep Face Fuzzy Vault: Implementation and Performance
As part of said feature transformation, a detailed analysis of different feature quantisation and binarisation techniques is conducted.
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.
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.
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
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.
