Multi-factor authentication: A survey
Today, digitalization decisively penetrates all the sides of the modern society. One of the key
enablers to maintain this process secure is authentication. It covers many different areas of a …
enablers to maintain this process secure is authentication. It covers many different areas of a …
A review of biometric technology along with trends and prospects
Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …
possession based methods. A wide variety of biometric modalities have been tested so far …
Towards complete and accurate iris segmentation using deep multi-task attention network for non-cooperative iris recognition
Iris images captured in non-cooperative environments often suffer from adverse noise, which
challenges many existing iris segmentation methods. To address this problem, this paper …
challenges many existing iris segmentation methods. To address this problem, this paper …
Teyed: Over 20 million real-world eye images with pupil, eyelid, and iris 2d and 3d segmentations, 2d and 3d landmarks, 3d eyeball, gaze vector, and eye movement …
We present TEyeD, the world's largest unified public data set of eye images taken with head-
mounted devices. TEyeD was acquired with seven different head-mounted eye trackers …
mounted devices. TEyeD was acquired with seven different head-mounted eye trackers …
Attention guided U-Net for accurate iris segmentation
Iris segmentation is a critical step for improving the accuracy of iris recognition, as well as for
medical concerns. Existing methods generally use whole eye images as input for network …
medical concerns. Existing methods generally use whole eye images as input for network …
Accurate iris segmentation in non-cooperative environments using fully convolutional networks
Conventional iris recognition requires controlled conditions (eg, close acquisition distance
and stop-and-stare scheme) and high user cooperation for image acquisition. Non …
and stop-and-stare scheme) and high user cooperation for image acquisition. Non …
An end to end deep neural network for iris segmentation in unconstrained scenarios
With the increasing imaging and processing capabilities of today's mobile devices, user
authentication using iris biometrics has become feasible. However, as the acquisition …
authentication using iris biometrics has become feasible. However, as the acquisition …
EEG signal classification using wavelet feature extraction and neural networks
P Jahankhani, V Kodogiannis… - IEEE John Vincent …, 2006 - ieeexplore.ieee.org
Decision support systems have been utilised since 1960, providing physicians with fast and
accurate means towards more accurate diagnoses and increased tolerance when handling …
accurate means towards more accurate diagnoses and increased tolerance when handling …
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 …
An accurate iris segmentation framework under relaxed imaging constraints using total variation model
Z Zhao, K Ajay - … of the IEEE international conference on …, 2015 - openaccess.thecvf.com
This paper proposes a novel and more accurate iris segmentation framework to
automatically segment iris region from the face images acquired with relaxed imaging under …
automatically segment iris region from the face images acquired with relaxed imaging under …