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Found 32 papers, 6 papers with code
Periocular Biometrics and its Relevance to Partially Masked Faces: A Survey
The performance of face recognition systems can be negatively impacted in the presence of masks and other types of facial coverings that have become prevalent due to the COVID-19 pandemic.
Trust in AI and Its Role in the Acceptance of AI Technologies
This paper addresses this need by explaining the role of trust on the intention to use AI technologies.
Beyond the Visible: A Survey on Cross-spectral Face Recognition
Secondly, we discuss the appropriate spectral bands for face recognition and discuss recent CFR methods, placing emphasis on deep neural networks.
The State of Aerial Surveillance: A Survey
The rapid emergence of airborne platforms and imaging sensors are enabling new forms of aerial surveillance due to their unprecedented advantages in scale, mobility, deployment and covert observation capabilities.
Conditional Identity Disentanglement for Differential Face Morph Detection
We performed experiments on AMSL face morph, MorGAN, and EMorGAN datasets to demonstrate the effectiveness of the proposed method.
Fingerprint Presentation Attack Detection utilizing Time-Series, Color Fingerprint Captures
This paper demonstrates the viability of utilizing a sensor with time-series and color-sensing capabilities to improve the robustness of a traditional fingerprint sensor and introduces a comprehensive fingerprint dataset with over 36, 000 image sequences and a state-of-the-art set of spoofing techniques.
One-shot Representational Learning for Joint Biometric and Device Authentication
In this work, we propose a method to simultaneously perform (i) biometric recognition (i. e., identify the individual), and (ii) device recognition, (i. e., identify the device) from a single biometric image, say, a face image, using a one-shot schema.
DeepTalk: Vocal Style Encoding for Speaker Recognition and Speech Synthesis
Automatic speaker recognition algorithms typically characterize speech audio using short-term spectral features that encode the physiological and anatomical aspects of speech production.
CIT-GAN: Cyclic Image Translation Generative Adversarial Network With Application in Iris Presentation Attack Detection
The Styling Network helps the generator to drive the translation of images from a source domain to a reference domain and generate synthetic images with style characteristics of the reference domain.
Complex-valued Iris Recognition Network
Unlike the problem of general object recognition, where real-valued neural networks can be used to extract pertinent features, iris recognition depends on the extraction of both phase and magnitude information from the input iris texture in order to better represent its biometric content.
Attention-Guided Network for Iris Presentation Attack Detection
Two types of attention modules are independently appended on top of the last convolutional layer of the backbone network.
Viability of Optical Coherence Tomography for Iris Presentation Attack Detection
In this paper, we propose the use of Optical Coherence Tomography (OCT) imaging for the problem of iris presentation attack (PA) detection.
Smartphone Camera De-identification while Preserving Biometric Utility
The principle of Photo Response Non Uniformity (PRNU) is often exploited to deduce the identity of the smartphone device whose camera or sensor was used to acquire a certain image.
Iris Liveness Detection Competition (LivDet-Iris) -- The 2020 Edition
Launched in 2013, LivDet-Iris is an international competition series open to academia and industry with the aim to assess and report advances in iris Presentation Attack Detection (PAD).
DeepVOX: Discovering Features from Raw Audio for Speaker Recognition in Degraded Audio Signals
Automatic speaker recognition algorithms typically use pre-defined filterbanks, such as Mel-Frequency and Gammatone filterbanks, for characterizing speech audio.
JukeBox: A Multilingual Singer Recognition Dataset
We also evaluate the effect of gender and language on speaker recognition performance, both in spoken and singing voice data.
D-NetPAD: An Explainable and Interpretable Iris Presentation Attack Detector
An iris recognition system is vulnerable to presentation attacks, or PAs, where an adversary presents artifacts such as printed eyes, plastic eyes, or cosmetic contact lenses to circumvent the system.
Face Phylogeny Tree Using Basis Functions
We also utilize the same basis functions to model geometric transformations and deep-learning based transformations.
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy
Further, PrivacyNet allows a person to choose specific attributes that have to be obfuscated in the input face images (e. g., age and race), while allowing for other types of attributes to be extracted (e. g., gender).
Some Research Problems in Biometrics: The Future Beckons
The need for reliably determining the identity of a person is critical in a number of different domains ranging from personal smartphones to border security; from autonomous vehicles to e-voting; from tracking child vaccinations to preventing human trafficking; from crime scene investigation to personalization of customer service.
Forecasting Pedestrian Trajectory with Machine-Annotated Training Data
In this work, we present a deep learning approach for pedestrian trajectory forecasting using a single vehicle-mounted camera.
FlowSAN: Privacy-enhancing Semi-Adversarial Networks to Confound Arbitrary Face-based Gender Classifiers
In this regard, Semi-Adversarial Networks (SAN) have recently emerged as a method for imparting soft-biometric privacy to face images.
Matching Thermal to Visible Face Images Using a Semantic-Guided Generative Adversarial Network
Designing face recognition systems that are capable of matching face images obtained in the thermal spectrum with those obtained in the visible spectrum is a challenging problem.
A Comprehensive Overview of Biometric Fusion
A comprehensive review of techniques incorporating ancillary information in the biometric recognition pipeline is also presented.
Actions Speak Louder Than (Pass)words: Passive Authentication of Smartphone Users via Deep Temporal Features
Prevailing user authentication schemes on smartphones rely on explicit user interaction, where a user types in a passcode or presents a biometric cue such as face, fingerprint, or iris.
Spoofing PRNU Patterns of Iris Sensors while Preserving Iris Recognition
The principle of Photo Response Non-Uniformity (PRNU) is used to link an image with its source, i. e., the sensor that produced it.
Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers
Recent research has proposed the use of Semi Adversarial Networks (SAN) for imparting privacy to face images.
Analyzing Covariate Influence on Gender and Race Prediction from Near-Infrared Ocular Images
Recent research has explored the possibility of automatically deducing information such as gender, age and race of an individual from their biometric data.
ATM: A distributed, collaborative, scalable system for automated machine learning
In this paper, we present Auto-Tuned Models, or ATM, a distributed, collaborative, scalable system for automated machine learning.
Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images
In this paper, we design and evaluate a convolutional autoencoder that perturbs an input face image to impart privacy to a subject.
Biometrics-as-a-Service: A Framework to Promote Innovative Biometric Recognition in the Cloud
This paper presents a framework for Biometrics-as-a-Service (BaaS) that performs biometric matching operations in the cloud, while relying on simple and ubiquitous consumer devices such as smartphones.
DeepMasterPrints: Generating MasterPrints for Dictionary Attacks via Latent Variable Evolution
The proposed method, referred to as Latent Variable Evolution, is based on training a Generative Adversarial Network on a set of real fingerprint images.
