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 …
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 …
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 …
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 …
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 …
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 …
Eye and mouth state detection algorithm based on contour feature extraction
Y Ji, S Wang, Y Lu, J Wei… - Journal of Electronic …, 2018 - spiedigitallibrary.org
Eye and mouth state analysis is an important step in fatigue detection. An algorithm that
analyzes the state of the eye and mouth by extracting contour features is proposed. First, the …
analyzes the state of the eye and mouth by extracting contour features is proposed. First, the …
Robust iris segmentation based on fully convolutional networks and generative adversarial networks
The iris can be considered as one of the most important biometric traits due to its high
degree of uniqueness. Iris-based biometrics applications depend mainly on the iris …
degree of uniqueness. Iris-based biometrics applications depend mainly on the iris …
The impact of preprocessing on deep representations for iris recognition on unconstrained environments
The use of iris as a biometric trait is widely used because of its high level of distinction and
uniqueness. Nowadays, one of the major research challenges relies on the recognition of …
uniqueness. Nowadays, one of the major research challenges relies on the recognition of …
Enhancing iris authentication on handheld devices using deep learning derived segmentation techniques
S Bazrafkan, P Corcoran - 2018 IEEE international conference …, 2018 - ieeexplore.ieee.org
In this paper the increasing use of biometric authentication on handheld devices is
considered and the importance of accurate iris segmentation in implementing an embedded …
considered and the importance of accurate iris segmentation in implementing an embedded …