Iris recognition with image segmentation employing retrained off-the-shelf deep neural networks
This paper offers three new, open-source, deep learning-based iris segmentation methods,
and the methodology how to use irregular segmentation masks in a conventional Gabor …
and the methodology how to use irregular segmentation masks in a conventional Gabor …
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 …
Deep learning-based feature extraction in iris recognition: Use existing models, fine-tune or train from scratch?
Modern deep learning techniques can be employed to generate effective feature extractors
for the task of iris recognition. The question arises: should we train such structures from …
for the task of iris recognition. The question arises: should we train such structures from …
Influence of segmentation on deep iris recognition performance
Despite the rise of deep learning in numerous areas of computer vision and image
processing, iris recognition has not benefited considerably from these trends so far. Most of …
processing, iris recognition has not benefited considerably from these trends so far. Most of …
Toward more accurate iris recognition using dilated residual features
Iris recognition has emerged as the more accurate, convenient, and low-cost biometric
approach to authenticate human subjects. However, the accuracy offered by current popular …
approach to authenticate human subjects. However, the accuracy offered by current popular …
Deepiris: Iris recognition using a deep learning approach
S Minaee, A Abdolrashidi - arXiv preprint arXiv:1907.09380, 2019 - arxiv.org
Iris recognition has been an active research area during last few decades, because of its
wide applications in security, from airports to homeland security border control. Different …
wide applications in security, from airports to homeland security border control. Different …
Iris recognition with off-the-shelf CNN features: A deep learning perspective
Iris recognition refers to the automated process of recognizing individuals based on their iris
patterns. The seemingly stochastic nature of the iris stroma makes it a distinctive cue for …
patterns. The seemingly stochastic nature of the iris stroma makes it a distinctive cue for …
Thirdeye: Triplet based iris recognition without normalization
Most iris recognition pipelines involve three stages: segmenting into iris/non-iris pixels,
normalization the iris region to a fixed area, and extracting relevant features for comparison …
normalization the iris region to a fixed area, and extracting relevant features for comparison …
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 …
Iris segmentation using fully convolutional encoder–decoder networks
E Jalilian, A Uhl - Deep learning for biometrics, 2017 - Springer
As a considerable breakthrough in artificial intelligence, deep learning has gained great
success in resolving key computer vision challenges. Accurate segmentation of the iris …
success in resolving key computer vision challenges. Accurate segmentation of the iris …