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 …
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 …
Periocular-assisted multi-feature collaboration for dynamic iris recognition
Iris recognition has emerged as one of the most accurate and convenient biometric for
person identification and has been increasingly employed in a wide range of e-security …
person identification and has been increasingly employed in a wide range of e-security …
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 …
Research on image preprocessing algorithm and deep learning of iris recognition
W Zhou, X Ma, Y Zhang - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
With the development of information society, biometrics technology has been paid more and
more attention. Iris recognition is considered as the most promising biometric authentication …
more attention. Iris recognition is considered as the most promising biometric authentication …
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 …
Eye landmarks detection via weakly supervised learning
B Huang, R Chen, Q Zhou, W Xu - Pattern Recognition, 2020 - Elsevier
Extensive eye researches provide good results when images are captured under
constrained environment. However, the accuracy of eye landmarks detection depends on …
constrained environment. However, the accuracy of eye landmarks detection depends on …
Iris segmentation using Hough Transform method and Fuzzy C-Means method
Abstract Complementary and Alternative Medicine (CAM) therapy is quite popular for
chronic diseases such as diabetes, arthritis, and others. CAM has become very popular in …
chronic diseases such as diabetes, arthritis, and others. CAM has become very popular in …
[PDF][PDF] Support value based fusion matching using iris and sclera features for person authentication in unconstrained environment
Existing iris recognition system provides accurate and reliable results based on Near
Infrared Images when images are captured under constrained environment with user …
Infrared Images when images are captured under constrained environment with user …