Deep learning for iris recognition: A survey
In this survey, we provide a comprehensive review of more than 200 papers, technical
reports, and GitHub repositories published over the last 10 years on the recent …
reports, and GitHub repositories published over the last 10 years on the recent …
Deep learning for iris recognition: a review
Y Yin, S He, R Zhang, H Chang, X Han… - arXiv preprint arXiv …, 2023 - arxiv.org
Iris recognition is a secure biometric technology known for its stability and privacy. With no
two irises being identical and little change throughout a person's lifetime, iris recognition is …
two irises being identical and little change throughout a person's lifetime, iris recognition is …
Iris-GuideNet: Guided Localisation and Segmentation Network for Unconstrained Iris Biometrics
In recent years, unconstrained iris biometrics has become more prevalent due to its wide
range of user applications. However, it also presents numerous challenges to the Iris pre …
range of user applications. However, it also presents numerous challenges to the Iris pre …
Benchmarking neural network compression techniques for ocular-based user authentication on smartphones
With the unprecedented mobile technology revolution, mobile devices have transcended
from being the primary means of communication to an all-in-one platform. Consequently, an …
from being the primary means of communication to an all-in-one platform. Consequently, an …
Membership inference attacks against semantic segmentation models
Membership inference attacks aim to infer whether a data record has been used to train a
target model by observing its predictions. In sensitive domains such as healthcare, this can …
target model by observing its predictions. In sensitive domains such as healthcare, this can …
Robust iris-localization algorithm in non-cooperative environments based on the improved YOLO v4 model
Q Xiong, X Zhang, X Wang, N Qiao, J Shen - Sensors, 2022 - mdpi.com
Iris localization in non-cooperative environments is challenging and essential for accurate
iris recognition. Motivated by the traditional iris-localization algorithm and the robustness of …
iris recognition. Motivated by the traditional iris-localization algorithm and the robustness of …
Analysis of v-net architecture for iris segmentation in unconstrained scenarios
A Banerjee, C Ghosh, SN Mandal - SN Computer Science, 2022 - Springer
Iris segmentation contains the most significant character in the iris recognition system. An
accurate iris segmentation helps to increase the accuracy of iris recognition in any biometric …
accurate iris segmentation helps to increase the accuracy of iris recognition in any biometric …
Multi‐source heterogeneous iris segmentation method based on lightweight convolutional neural network
G Huo, D Lin, M Yuan - IET Image Processing, 2023 - Wiley Online Library
Iris segmentation is a critical step in the iris recognition system. Since the quality of iris
database taken under different camera sensors varies greatly, thus most existing iris …
database taken under different camera sensors varies greatly, thus most existing iris …
A Comparative Study on Recent Trends in Iris Recognition Techniques
With increase in vulnerability of data theft raises the question of protection of the very data.
Other forms of security being obsolescence, a unique way of technology for protecting …
Other forms of security being obsolescence, a unique way of technology for protecting …
U-Net convolutional neural network for multisource heterogeneous iris segmentation
VI D'Alessandro, L De Palma… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Accurate iris segmentation is a critical step in various applications, from biometric
identification systems to ophthalmic disease diagnosis. Despite the large number of works …
identification systems to ophthalmic disease diagnosis. Despite the large number of works …