Cross-spectral iris recognition using CNN and supervised discrete hashing
Completely automated iris recognition has emerged as an integral part of e-business and e-
governance infrastructure which has acquired billions of iris images under near-infrared …
governance infrastructure which has acquired billions of iris images under near-infrared …
Deep gan-based cross-spectral cross-resolution iris recognition
In recent years, cross-spectral iris recognition has emerged as a promising biometric
approach to establish the identity of individuals. However, matching iris images acquired at …
approach to establish the identity of individuals. However, matching iris images acquired at …
An efficient and accurate iris recognition algorithm based on a novel condensed 2-ch deep convolutional neural network
Recently, deep learning approaches, especially convolutional neural networks (CNNs),
have attracted extensive attention in iris recognition. Though CNN-based approaches …
have attracted extensive attention in iris recognition. Though CNN-based approaches …
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 …
Towards more accurate iris recognition using deeply learned spatially corresponding features
Z Zhao, A Kumar - … of the IEEE international conference on …, 2017 - openaccess.thecvf.com
This paper proposes an accurate and generalizable deep learning framework for iris
recognition. The proposed framework is based on a fully convolutional network (FCN), which …
recognition. The proposed framework is based on a fully convolutional network (FCN), which …
DeepIris: Learning pairwise filter bank for heterogeneous iris verification
Heterogeneous iris recognition (HIR) is in great demand for a large-scale identity
management system. Iris images acquired in heterogeneous environment have large intra …
management system. Iris images acquired in heterogeneous environment have large intra …
Enhancing human iris recognition performance in unconstrained environment using ensemble of convolutional and residual deep neural network models
Despite the prominent advancements in iris recognition, unconstrained image acquisition
through heterogeneous sensors has been a major obstacle in applying it for large-scale …
through heterogeneous sensors has been a major obstacle in applying it for large-scale …
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 …
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 …
Cross-spectral iris recognition by learning device-specific band
Cross-spectral recognition is still an open challenge in iris recognition. In cross-spectral iris
recognition, there exist distinct device-specific bands between near-infrared (NIR) and …
recognition, there exist distinct device-specific bands between near-infrared (NIR) and …