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Greatest papers with code

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

31 Jan 2019xiamenwcy/IrisParseNet

In this paper, we propose 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.

IRIS SEGMENTATION MULTI-TASK LEARNING

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

4 Jan 2019CVRL/iris-recognition-OTS-DNN

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-wavelet-based iris recognition.

IRIS RECOGNITION IRIS SEGMENTATION SEMANTIC SEGMENTATION

Open Source Iris Recognition Hardware and Software with Presentation Attack Detection

19 Aug 2020CVRL/RaspberryPiOpenSourceIris

This paper proposes the first known to us open source hardware and software iris recognition system with presentation attack detection (PAD), which can be easily assembled for about 75 USD using Raspberry Pi board and a few peripherals.

IRIS RECOGNITION IRIS SEGMENTATION

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

8 Sep 2019scale-lab/FCNiris

To attain accurate and efficient FCN models, we propose a three-step SW/HW co-design methodology consisting of FCN architectural exploration, precision quantization, and hardware acceleration.

IRIS RECOGNITION IRIS SEGMENTATION QUANTIZATION

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

9 Jun 2020iMED-Lab/WRB-Net

We consider it to be the first work to detect angle-closure glaucoma by means of 3D representation.

IRIS SEGMENTATION

Boltzmann Exploration Expectation–Maximisation

arXiv 2019 kaminAI/beem

While effective, the success of any monotone algorithm is crucially dependant on good parameter initialisation, where a common choice is K-means initialisation, commonly employed for Gaussian mixture models.

IRIS SEGMENTATION

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

7 Jan 2019aczajka/iris-recognition---pm-diseased-human-driven-bsif

We propose to use deep learning-based iris segmentation models to extract highly irregular iris texture areas in post-mortem iris images.

IRIS RECOGNITION IRIS SEGMENTATION SEMANTIC SEGMENTATION

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

6 Jan 2019jeffkinnison/florin-iris

Subject matching performance in iris biometrics is contingent upon fast, high-quality iris segmentation.

IRIS SEGMENTATION