Robust Iris Segmentation Algorithm in Non-Cooperative Environments Using Interleaved Residual U-Net [PDF]
Sensors, 2021 Iris segmentation plays an important and significant role in the iris recognition system. The prerequisite for accurate iris recognition is the correctness of iris segmentation.
Yung-Hui Li +3 more
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Towards More Accurate and Complete Heterogeneous Iris Segmentation Using a Hybrid Deep Learning Approach [PDF]
Journal of Imaging, 2022 Accurate iris segmentation is a crucial preprocessing stage for computer-aided ophthalmic disease diagnosis. The quality of iris images taken under different camera sensors varies greatly, and thus accurate segmentation of heterogeneous iris databases is
Yuan Meng, Tie Bao
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A Comprehensive Evaluation of Iris Segmentation on Benchmarking Datasets [PDF]
SensorsIris is one of the most widely used biometric modalities because of its uniqueness, high matching performance, and inherently secure nature. Iris segmentation is an essential preliminary step for iris-based biometric authentication.
Mst Rumana Sumi +4 more
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Deep learning framework for bovine iris segmentation [PDF]
Journal of Animal Science and TechnologyIris segmentation is an initial step for identifying the biometrics of animals when establishing a traceability system for livestock. In this study, we propose a deep learning framework for pixel-wise segmentation of bovine iris with a minimized use of ...
Heemoon Yoon +5 more
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IrisDenseNet: Robust Iris Segmentation Using Densely Connected Fully Convolutional Networks in the Images by Visible Light and Near-Infrared Light Camera Sensors [PDF]
Sensors, 2018 The recent advancements in computer vision have opened new horizons for deploying biometric recognition algorithms in mobile and handheld devices. Similarly, iris recognition is now much needed in unconstraint scenarios with accuracy.
Muhammad Arsalan +5 more
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Study on Iris Segmentation Algorithm Based on Dense U-Net
IEEE Access, 2019 Iris segmentation is an essential process of iris recognition. Iris segmentation plays an important role in maintaining the accuracy of iris based on recognition system by limiting the errors in the current stage.
Xiaoqiang Wu, Long Zhao
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Deep-Learning Model for Iris and Eyebrow Segmentation and Automation of Eye Landmark Measurements in Acquired Ptosis [PDF]
BiomedicinesBackground: Acquired ptosis is a common eyelid disorder in elderly patients, causing visual disturbance and cosmetic concerns. Accurate evaluation of periocular anatomy, including eyebrow and iris position, is essential for surgical planning, but current
Dain Yoo, Hyun Jin Shin
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A Robust Iris Segmentation Scheme Based on Improved U-Net
IEEE Access, 2019 Iris segmentation plays an important role in the iris recognition system, and the accurate segmentation of iris can lay a good foundation for the follow-up work of iris recognition and can improve greatly the efficiency of iris recognition.
Wei Zhang +5 more
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A study on neutrosophic $$\mathscr {T}_{\textrm{1k}}$$ -semantic segmentation for iris image recognition with Gaussian and Poisson noises [PDF]
Scientific ReportsIn this article, we introduce an innovative methodology for image segmentation utilizing neutrosophic sets. Neutrosophic set components exhibit superior reliability in image processing due to their adeptness at managing uncertainty.
Vinoth Dhatchinamoorthy +3 more
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Deep learning-based anterior segment identification and parameter assessment of primary angle closure disease in ultrasound biomicroscopy images [PDF]
BMJ Open OphthalmologyPurpose To develop an artificial intelligence algorithm to automatically identify the anterior segment structures and assess multiple parameters of primary angle closure disease (PACD) in ultrasound biomicroscopy (UBM) images.Design Development and ...
Xingzhi Sun +10 more
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