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Found 32 papers, 4 papers with code
Vulnerability of Face Morphing Attacks: A Case Study on Lookalike and Identical Twins
We present a systematic study on benchmarking the vulnerability of Face Recognition Systems (FRS) to lookalike and identical twin morphing images.
Finger-NestNet: Interpretable Fingerphoto Verification on Smartphone using Deep Nested Residual Network
Fingerphoto images captured using a smartphone are successfully used to verify the individuals that have enabled several applications.
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.
Deep Composite Face Image Attacks: Generation, Vulnerability and Detection
Given the face images corresponding to two unique data subjects, the proposed CFIA method will independently generate the segmented facial attributes, then blend them using transparent masks to generate the CFIA samples.
Reliable Face Morphing Attack Detection in On-The-Fly Border Control Scenario with Variation in Image Resolution and Capture Distance
Among these attacks, face morphing attacks are highly potential in deceiving automatic FRS and human observers and indicate a severe security threat, especially in the border control scenario.
A Uniform Representation Learning Method for OCT-based Fingerprint Presentation Attack Detection and Reconstruction
For reconstruction performance, our method achieves the best performance with 0. 834 mIOU and 0. 937 PA. By comparing with the recognition performance on surface 2D fingerprints, the effectiveness of our proposed method on high quality subsurface fingerprint reconstruction is further proved.
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.
SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data
The competition attracted a total of 12 participating teams, both from academia and industry and present in 11 different countries.
How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting
Unlike previous methods, we model the depth estimation of the unobserved frame as a view-synthesis problem, which treats the depth estimate of the unseen video frame as an auxiliary task while synthesizing back the views using learned pose.
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.
3D Face Morphing Attacks: Generation, Vulnerability and Detection
To this extent, we have introduced a novel approach based on blending the 3D face point clouds corresponding to the contributory data subjects.
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.
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.
DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection
To alleviate these shortcomings, this paper proposes DFCANet: Dense Feature Calibration and Attention Guided Network which calibrates the locally spread iris patterns with the globally located ones.
Cross-Domain Iris Presentation Attack Detection
Incremental Learning
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Taming Self-Supervised Learning for Presentation Attack Detection: In-Image De-Folding and Out-of-Image De-Mixing
Even though there are numerous Presentation Attack Detection (PAD) techniques based on both deep learning and hand-crafted features, the generalization of PAD for unknown PAI is still a challenging problem.
Multilingual Audio-Visual Smartphone Dataset And Evaluation
This new dataset contains 103 subjects captured in three different sessions considering the different real-world scenarios.
ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation
Face morphing attacks aim at creating face images that are verifiable to be the face of multiple identities, which can lead to building faulty identity links in operations like border checks.
MFR 2021: Masked Face Recognition Competition
These teams successfully submitted 18 valid solutions.
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.
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 Benchmarking Iris Recognition within a Head-mounted Display for AR/VR Application
Motivated by the performance of iris recognition, we also propose the continuous authentication of users in a non-collaborative capture setting in HMD.
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.
Adversarial Attacks against Face Recognition: A Comprehensive Study
Face recognition (FR) systems have demonstrated outstanding verification performance, suggesting suitability for real-world applications ranging from photo tagging in social media to automated border control (ABC).
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.
Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking
Further, we present a new online evaluation platform to test algorithms on sequestered data.
A Survey on Unknown Presentation Attack Detection for Fingerprint
Fingerprint recognition systems are widely deployed in various real-life applications as they have achieved high accuracy.
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.
