Ocular biometrics: A survey of modalities and fusion approaches
Biometrics, an integral component of Identity Science, is widely used in several large-scale-
county-wide projects to provide a meaningful way of recognizing individuals. Among existing …
county-wide projects to provide a meaningful way of recognizing individuals. Among existing …
A comprehensive review on iris image-based biometric system
JJ Winston, DJ Hemanth - Soft Computing, 2019 - Springer
Iris image-based biometric systems are commonly used in applications that demand
security, authentication, recognition and faster login access. In solving these real-time …
security, authentication, recognition and faster login access. In solving these real-time …
IrisDenseNet: Robust iris segmentation using densely connected fully convolutional networks in the images by visible light and near-infrared light camera sensors
The recent advancements in computer vision have opened new horizons for deploying
biometric recognition algorithms in mobile and handheld devices. Similarly, iris recognition …
biometric recognition algorithms in mobile and handheld devices. Similarly, iris recognition …
Robust iris segmentation method based on a new active contour force with a noncircular normalization
MAM Abdullah, SS Dlay, WL Woo… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Traditional iris segmentation methods give good results when the iris images are taken
under ideal imaging conditions. However, the segmentation accuracy of an iris recognition …
under ideal imaging conditions. However, the segmentation accuracy of an iris recognition …
Deep multi-class eye segmentation for ocular biometrics
Segmentation techniques for ocular biometrics typically focus on finding a single eye region
in the input image at the time. Only limited work has been done on multi-class eye …
in the input image at the time. Only limited work has been done on multi-class eye …
[图书][B] Iris biometrics: from segmentation to template security
C Rathgeb, A Uhl, P Wild - 2012 - books.google.com
Iris Biometrics: From Segmentation to Template Security provides critical analysis,
challenges and solutions on recent iris biometric research topics, including image …
challenges and solutions on recent iris biometric research topics, including image …
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 …
Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets
A data augmentation methodology is presented and applied to generate a large dataset of
off-axis iris regions and train a low-complexity deep neural network. Although of low …
off-axis iris regions and train a low-complexity deep neural network. Although of low …
Robust deep learning technique: U-Net architecture for pupil segmentation
S Gowroju, S Kumar - 2020 11th IEEE Annual Information …, 2020 - ieeexplore.ieee.org
In many of the iris biometric applications plays a major role in tracking the gaze, detecting
fatigue, and predicting the age of a person, etc. that were built for human-computer …
fatigue, and predicting the age of a person, etc. that were built for human-computer …
Reliable iris localization using Hough transform, histogram-bisection, and eccentricity
The iris technology recognizes individuals from their iris texture with great precision.
However, it does not perform well for the non-ideal data, where the eye image may contain …
However, it does not perform well for the non-ideal data, where the eye image may contain …