[HTML][HTML] Learning medical image denoising with deep dynamic residual attention network
Image denoising performs a prominent role in medical image analysis. In many cases, it can
drastically accelerate the diagnostic process by enhancing the perceptual quality of noisy …
drastically accelerate the diagnostic process by enhancing the perceptual quality of noisy …
Iris segmentation using interactive deep learning
M Sardar, S Banerjee, S Mitra - IEEE Access, 2020 - ieeexplore.ieee.org
Automated iris segmentation is an important component of biometric identification. The role
of artificial intelligence, particularly machine learning and deep learning, has been …
of artificial intelligence, particularly machine learning and deep learning, has been …
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 …
PixISegNet: pixel‐level iris segmentation network using convolutional encoder–decoder with stacked hourglass bottleneck
In this paper, we present a new iris ROI segmentation algorithm using a deep convolutional
neural network (NN) to achieve the state‐of‐the‐art segmentation performance on well …
neural network (NN) to achieve the state‐of‐the‐art segmentation performance on well …
Challenges, taxonomy and techniques of iris localization: A survey
G Gautam, S Mukhopadhyay - Digital Signal Processing, 2020 - Elsevier
A categorical study on iris localization, its challenges and techniques is carried out here.
This survey comprehends the historical evolution and present state-of-the-art in iris …
This survey comprehends the historical evolution and present state-of-the-art in iris …
OR-Skip-Net: Outer residual skip network for skin segmentation in non-ideal situations
Skin segmentation is one of the most important tasks for human activity recognition, video
monitoring, face detection, hand gesture recognition, content-based detection, adult content …
monitoring, face detection, hand gesture recognition, content-based detection, adult content …
Contactless palm vein authentication using deep learning with Bayesian optimization
MI Obayya, M El-Ghandour, F Alrowais - IEEE access, 2020 - ieeexplore.ieee.org
Among various biometric methods, palm vein authentication has taken significant attention
because of its uniqueness, stability and non-intrusiveness. In this paper, we propose a palm …
because of its uniqueness, stability and non-intrusiveness. In this paper, we propose a palm …
Fast iris localization algorithm on noisy images based on conformal geometric algebra
L Ma, H Li, K Yu - Digital Signal Processing, 2020 - Elsevier
In practical iris applications, the obtained iris images are inevitably affected by noises
brought by uneven illumination, off-angle view, eyelids, and eyelashes etc. Such influences …
brought by uneven illumination, off-angle view, eyelids, and eyelashes etc. Such influences …
End-to-end off-angle iris recognition using CNN based iris segmentation
E Jalilian, M Karakaya, A Uhl - 2020 International Conference …, 2020 - ieeexplore.ieee.org
While deep learning techniques are increasingly becoming a tool of choice for iris
segmentation, yet there is no comprehensive recognition framework dedicated for off-angle …
segmentation, yet there is no comprehensive recognition framework dedicated for off-angle …
[HTML][HTML] Cross-spectral iris recognition using phase-based matching and homomorphic filtering
In cross-spectral iris recognition, different spectral bands are used to obtain rich information
of the human iris. Previous studies on cross-spectral iris recognition are based primarily on …
of the human iris. Previous studies on cross-spectral iris recognition are based primarily on …