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Found 33 papers, 2 papers with code
Periocular Recognition Using CNN Features Off-the-Shelf
Periocular refers to the region around the eye, including sclera, eyelids, lashes, brows and skin.
A Survey on Periocular Biometrics Research
Periocular refers to the facial region in the vicinity of the eye, including eyelids, lashes and eyebrows.
Expression Recognition Using the Periocular Region: A Feasibility Study
Periocular is the facial region in the immediate vicinity of the eye.
Improving Automated Latent Fingerprint Identification using Extended Minutia Types
We report significant improvements in the rank identification accuracies when these minutiae matchers are augmented with our proposed algorithm based on rare minutiae features.
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.
Spectrum Translation for Cross-Spectral Ocular Matching
Cross-spectral verification remains a big issue in biometrics, especially for the ocular area due to differences in the reflected features in the images depending on the region and spectrum used.
Analytic Signal Phase in $N-D$ by Linear Symmetry Tensor--fingerprint modeling
To that end, a novel multi-scale minutia model where location, direction, and scale of minutia parameters are steerable, without the creation of uncontrollable minutia is also presented.
SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms
Accordingly, we address the challenge of developing a lightweight face recognition network of just a few megabytes that can operate with sufficient accuracy in comparison to much larger models.
Writer Identification Using Microblogging Texts for Social Media Forensics
With a large number of training Tweets (>500), a good accuracy (Rank-5>80%) is achievable with only a few dozens of test Tweets, even with several thousands of authors.
Cross-Spectral Periocular Recognition with Conditional Adversarial Networks
Recognition experiments are done using a number of off-the-shelf periocular comparators based both on hand-crafted features and CNN descriptors.
Facial Masks and Soft-Biometrics: Leveraging Face Recognition CNNs for Age and Gender Prediction on Mobile Ocular Images
Also, the use of mobile devices has exploded, with the pandemic further accelerating the migration to digital services.
On the Effect of Selfie Beautification Filters on Face Detection and Recognition
Although there is room for improvement, when neither U-NET reconstruction nor training with filtered images is applied, the accuracy with filters that severely occlude the eye is <72% (identification) and >12% (EER)
A Comparative Study of Fingerprint Image-Quality Estimation Methods
One of the open issues in fingerprint verification is the lack of robustness against image-quality degradation.
Writer Recognition Using Off-line Handwritten Single Block Characters
With ten enrolment samples, the Top-1 accuracy with deep features is around 94%, and reaches nearly 100% by Top-10.
Continuous Examination by Automatic Quiz Assessment Using Spiral Codes and Image Processing
We describe a technical solution implemented at Halmstad University to automatise assessment and reporting of results of paper-based quiz exams.
LFW-Beautified: A Dataset of Face Images with Beautification and Augmented Reality Filters
To help in counteracting such issues, we contribute with a database of facial images that includes several manipulations.
Super-Resolution for Selfie Biometrics: Introduction and Application to Face and Iris
Such techniques are designed to restore generic images and therefore do not exploit the specific structure found in biometric images (e. g. iris or faces), which causes the solution to be sub-optimal.
Compact multi-scale periocular recognition using SAFE features
Fusion experiments among the available systems are also provided.
Very Low-Resolution Iris Recognition Via Eigen-Patch Super-Resolution and Matcher Fusion
Current research in iris recognition is moving towards enabling more relaxed acquisition conditions.
Real-time AdaBoost cascade face tracker based on likelihood map and optical flow
Tracking capabilities are provided by extrapolating the position of the likelihood map to the next frame by optical flow computation.
Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection
We present a new system for eye detection based on complex symmetry filters, which has the advantage of not needing training.
Experimental analysis regarding the influence of iris segmentation on the recognition rate
In this study the authors will look at the detection and segmentation of the iris and its influence on the overall performance of the iris-biometric tool chain.
Fingerprint Image-Quality Estimation and its Application to Multialgorithm Verification
This is also supported by numerous experiments involving a simpler quality estimator, a trained method (NFIQ), as well as the human perception of fingerprint quality on several public databases.
Combining multiple matchers for fingerprint verification: A case study in biosecure network of excellence
Fusion experiments I volving different combinations of the available systems are presented.
Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers
Workplace injuries are common in today's society due to a lack of adequately worn safety equipment.
Periocular Biometrics: A Modality for Unconstrained Scenarios
Periocular refers to the externally visible region of the face that surrounds the eye socket.
One-Shot Learning for Periocular Recognition: Exploring the Effect of Domain Adaptation and Data Bias on Deep Representations
In this paper, we investigate the behavior of deep representations in widely used CNN models under extreme data scarcity for One-Shot periocular recognition, a biometric recognition task.
SqueezerFaceNet: Reducing a Small Face Recognition CNN Even More Via Filter Pruning
The widespread use of mobile devices for various digital services has created a need for reliable and real-time person authentication.
An Explainable Model-Agnostic Algorithm for CNN-based Biometrics Verification
This paper describes an adaptation of the Local Interpretable Model-Agnostic Explanations (LIME) AI method to operate under a biometric verification setting.
Periocular biometrics: databases, algorithms and directions
Periocular biometrics has been established as an independent modality due to concerns on the performance of iris or face systems in uncontrolled conditions.
EFaR 2023: Efficient Face Recognition Competition
To drive further development of efficient face recognition models, the submitted solutions are ranked based on a weighted score of the achieved verification accuracies on a diverse set of benchmarks, as well as the deployability given by the number of floating-point operations and model size.
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.
Keypoint Description by Symmetry Assessment -- Applications in Biometrics
The origin is also a unique singularity of all harmonic functions, helping to determine the location of a keypoint precisely, whereas the functions describe the object shape of the neighborhood.
