Deep learning for iris recognition: A survey
In this survey, we provide a comprehensive review of more than 200 articles, technical
reports, and GitHub repositories published over the last 10 years on the recent …
reports, and GitHub repositories published over the last 10 years on the recent …
Periocular biometrics and its relevance to partially masked faces: A survey
Periocular is one of the promising biometric traits for human recognition. It encompasses a
surrounding area of eyes that includes eyebrows, eyelids, eyelashes, eye-folds, eyebrows …
surrounding area of eyes that includes eyebrows, eyelids, eyelashes, eye-folds, eyebrows …
MetaScleraSeg: an effective meta-learning framework for generalized sclera segmentation
Sclera segmentation is a key component of sclera recognition, which decides the region-of-
interest (ROI) for recognition and has a considerable impact on the overall performance. In …
interest (ROI) for recognition and has a considerable impact on the overall performance. In …
One-Shot Learning for Periocular Recognition: Exploring the Effect of Domain Adaptation and Data Bias on Deep Representations
K Hernandez-Diaz, F Alonso-Fernandez… - IEEE Access, 2023 - ieeexplore.ieee.org
One weakness of machine-learning algorithms is the need to train the models for a new task.
This presents a specific challenge for biometric recognition due to the dynamic nature of …
This presents a specific challenge for biometric recognition due to the dynamic nature of …
Iris Liveness Detection using Deep Learning Networks
S Sujanthi, A Bowshika… - 2023 7th International …, 2023 - ieeexplore.ieee.org
A specific biometric characteristic must be unique for each person for whom it can be
determined and invariant over time in order to be used for identification purposes. Biometrics …
determined and invariant over time in order to be used for identification purposes. Biometrics …
LDA-CNN: Linear discriminant analysis convolution neural network for periocular recognition in the wild
Due to the COVID-19 pandemic, the necessity for a contactless biometric system able to
recognize masked faces drew attention to the periocular region as a valuable biometric trait …
recognize masked faces drew attention to the periocular region as a valuable biometric trait …
Conditional multimodal biometrics embedding learning for periocular and face in the wild
Multimodal biometrics has been attributed to achieving better performance compared to
unimodal biometrics, despite there being some limitations on its utilization eg availability …
unimodal biometrics, despite there being some limitations on its utilization eg availability …
[HTML][HTML] Region specific and subimage based neighbour gradient feature extraction for robust periocular recognition
S Ramachandra, S Ramachandran - … of King Saud University-Computer and …, 2022 - Elsevier
This paper proposes a Periocular recognition algorithm that uses region-specific and sub-
image-based neighbor gradient feature extraction to achieve better recognition results. This …
image-based neighbor gradient feature extraction to achieve better recognition results. This …
Periocular biometrics: A modality for unconstrained scenarios
Periocular Biometrics: A Modality for Unconstrained Scenarios Page 1 COVER FEATURE
BIOMETRICS, BETTER LONGEVITY, AND HEALTH 40 COMPUTER PUBLISHED BY THE IEEE …
BIOMETRICS, BETTER LONGEVITY, AND HEALTH 40 COMPUTER PUBLISHED BY THE IEEE …
Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation
Sclera segmentation is a crucial step in sclera recognition, which has been greatly
advanced by Convolutional Neural Networks (CNNs). However, when dealing with non …
advanced by Convolutional Neural Networks (CNNs). However, when dealing with non …