medical-9

Iris Segmentation

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in iris-segmentation-18

Trend

Dataset

Best Model

Actions

CASIA

UBIRIS

MICHE

Libraries

i

Use these libraries to find iris-segmentation-18 models and implementations

Datasets

CASIA-Iris-Complex

UBIRIS.v2

Subtasks

No subtasks available.

Most implemented papers

Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT

Yan Hu, Jiang Liu, H. Fu, Yitian Zhao, Xiulan Zhang, Fei Li, Yanwu Xu, Jinkui Hao•Mon Jun 08 2020

Experimental results demonstrate that the proposed novel framework for reconstruction and quantification of 3D iris surface from AS-OCT imagery is highly effective in iris segmentation and surface reconstruction and it is shown that 3D-based representation achieves better performance in angle-closure glaucoma detection than does 2D- based feature.

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Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks

K. Bowyer, A. Czajka, Mateusz Trokielewicz, Daniel Kerrigan•Thu Jan 03 2019

In database-disjoint training and testing, it is shown that deep learning-based segmentation outperforms the conventional (OSIRIS) segmentation in terms of Intersection over Union calculated between the obtained results and manually annotated ground-truth.

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Open Source Iris Recognition Hardware and Software with Presentation Attack Detection

A. Czajka, Zhaoyuan Fang•Tue Aug 18 2020

A lightweight image complexity-guided convolutional network for fast and accurate iris segmentation, domain-specific human-inspired Binarized Statistical Image Features (BSIF) to build an iris template, and to combine 2D and 3D features for PAD are proposed.

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Learning-Free Iris Segmentation Revisited: A First Step Toward Fast Volumetric Operation Over Video Samples

W. Scheirer, A. Czajka, Mateusz Trokielewicz, Jeffery Kinnison, Camila Carballo•Sat Jan 05 2019

It is shown that by incorporating volumetric information, FLoRIN achieves a factor of 3.6 to an order of magnitude increase in throughput with only a minor drop in subject matching performance, making it suitable for embedded biometrics systems.

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Post-mortem Iris Recognition with Deep-Learning-based Image Segmentation

A. Czajka, Mateusz Trokielewicz, P. Maciejewicz•Sun Jan 06 2019

This paper proposes to use deep learning-based iris segmentation models to extract highly irregular iris texture areas in post-mortem iris images, and shows how to use segmentation masks predicted by neural networks in conventional, Gabor- based iris recognition method, which employs circular approximations of the pupillary and limbic iris boundaries.

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Gender Classification from Iris Texture Images Using a New Set of Binary Statistical Image Features

Juan E. Tapia, Claudia Arellano•Tue Apr 30 2019

This paper explores the use of a Binary Statistical Features (BSIF) algorithm for classifying gender from iris texture images captured with NIR sensors and results are competitive with the state of the art in gender classification.

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A Resource-Efficient Embedded Iris Recognition System Using Fully Convolutional Networks

Hokchhay Tann, Heng Zhao, S. Reda•Sat Sep 07 2019

A resource-efficient, end-to-end iris recognition flow, which consists of FCN-based segmentation and a contour fitting module, followed by Daugman normalization and encoding, and a novel dynamic fixed-point accelerator, which fully demonstrate the SW/HW co-design realization of the flow on an embedded FPGA platform.

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Joint Iris Segmentation and Localization Using Deep Multi-task Learning Framework

Zhenan Sun, Yunfan Liu, Caiyong Wang, R. He, Yuhao Zhu•Wed Jan 30 2019

This paper proposes a deep multi-task learning framework, named as IrisParseNet, to exploit the inherent correlations between pupil, iris and sclera to boost up the performance of iris segmentation and localization in a unified model.

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Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition

K. Bowyer, A. Czajka, P. Flynn, Andrey Kuehlkamp, Aidan Boyd, D. Chute, Eric Benjamin•Tue Nov 30 2021

The proposed postmortem iris segmentation approach outperforms the state of the art and detects abnormal regions caused by eye decomposition processes, such as furrows or irregular specular highlights present on the drying and wrinkling cornea.

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