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 …
A deep learning based unified framework to detect, segment and recognize irises using spatially corresponding features
Z Zhao, A Kumar - Pattern Recognition, 2019 - Elsevier
This paper proposes a deep learning based unified and generalizable framework for
accurate iris detection, segmentation and recognition. The proposed framework firstly …
accurate iris detection, segmentation and recognition. The proposed framework firstly …
A robust iris segmentation scheme based on improved U-net
W Zhang, X Lu, Y Gu, Y Liu, X Meng, J Li - IEEE access, 2019 - ieeexplore.ieee.org
Iris segmentation plays an important role in the iris recognition system, and the accurate
segmentation of iris can lay a good foundation for the follow-up work of iris recognition and …
segmentation of iris can lay a good foundation for the follow-up work of iris recognition and …
FRED-Net: Fully residual encoder–decoder network for accurate iris segmentation
Iris recognition is now developed enough to recognize a person from a distance. The
process of iris segmentation plays a vital role in maintaining the accuracy of the iris-based …
process of iris segmentation plays a vital role in maintaining the accuracy of the iris-based …
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 …
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 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) …
Deep learning-based iris segmentation for iris recognition in visible light environment
Existing iris recognition systems are heavily dependent on specific conditions, such as the
distance of image acquisition and the stop-and-stare environment, which require significant …
distance of image acquisition and the stop-and-stare environment, which require significant …
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 …
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 …