Automatic gaze analysis: A survey of deep learning based approaches
Eye gaze analysis is an important research problem in the field of Computer Vision and
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …
Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet
Y Chen, H Gan, H Chen, Y Zeng, L Xu, AA Heidari… - Neurocomputing, 2023 - Elsevier
Due to their insufficient generalization ability, iris segmentation algorithms based on deep
learning cannot accurately segment iris images without corresponding ground truth (GT) …
learning cannot accurately segment iris images without corresponding ground truth (GT) …
Iris recognition development techniques: a comprehensive review
Recently, iris recognition techniques have achieved great performance in identification.
Among authentication techniques, iris recognition systems have received attention very …
Among authentication techniques, iris recognition systems have received attention very …
[HTML][HTML] A survey of identity recognition via data fusion and feature learning
With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …
variety of applications put forward an urgent demand for user and device identity …
Openeds: Open eye dataset
We present a large scale data set, OpenEDS: Open Eye Dataset, of eye-images captured
using a virtual-reality (VR) head mounted display mounted with two synchronized eyefacing …
using a virtual-reality (VR) head mounted display mounted with two synchronized eyefacing …
Iris and periocular biometrics for head mounted displays: Segmentation, recognition, and synthetic data generation
Augmented and virtual reality deployment is finding increasing use in novel applications.
Some of these emerging and foreseen applications allow the users to access sensitive …
Some of these emerging and foreseen applications allow the users to access sensitive …
[PDF][PDF] Deep sclera segmentation and recognition
In this chapter, we address the problem of biometric identity recognition from the vasculature
of the human sclera. Specifically, we focus on the challenging task of multi-view sclera …
of the human sclera. Specifically, we focus on the challenging task of multi-view sclera …
End-to-end iris segmentation using u-net
Iris segmentation is an important research topic that received significant attention from the
research community over the years. Traditional iris segmentation techniques have typically …
research community over the years. Traditional iris segmentation techniques have typically …
A comprehensive investigation into sclera biometrics: a novel dataset and performance study
The area of ocular biometrics is among the most popular branches of biometric recognition
technology. This area has long been dominated by iris recognition research, while other …
technology. This area has long been dominated by iris recognition research, while other …
Exploring bias in sclera segmentation models: A group evaluation approach
Bias and fairness of biometric algorithms have been key topics of research in recent years,
mainly due to the societal, legal and ethical implications of potentially unfair decisions made …
mainly due to the societal, legal and ethical implications of potentially unfair decisions made …