Iris Recognition

21 papers with code • 0 benchmarks • 4 datasets

This task has no description! Would you like to contribute one?

Libraries

Use these libraries to find Iris Recognition models and implementations

Most implemented papers

DeepIris: Iris Recognition Using A Deep Learning Approach

NihadHassan999/DeepIris_Recognition 22 Jul 2019

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.

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

scale-lab/FCNiris 8 Sep 2019

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.

Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing Models, Fine-tune or Train From Scratch?

BoydAidan/BTAS2019DeepFeatureExtraction 20 Feb 2020

Features are extracted from each convolutional layer and the classification accuracy achieved by a Support Vector Machine is measured on a dataset that is disjoint from the samples used in training of the ResNet-50 model.

Resist : Reconstruction of irises from templates

sohaib50k/RESIST-Iris-template-reconstruction 31 Jul 2020

That is, we show how to transform templates into realistic looking iris images that are also deemed as the same iris by the corresponding recognition system.

An End-to-End Autofocus Camera for Iris on the Move

Debatrix/AquulaCam 29 Jun 2021

To accommodate users at different distances, it is necessary to control focus quickly and accurately.

Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition

akuehlka/xai4b_tlpim 1 Dec 2021

In this paper, we present an end-to-end deep learning-based method for postmortem iris segmentation and recognition with a special visualization technique intended to support forensic human examiners in their efforts.

KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentation

jalilnkh/kartalol-nir-isl2021031301 9 Dec 2021

Further, we have introduced a new dataset, called KartalOl, to better evaluate detectors in iris recognition scenarios.

DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformation

cvrl/deformirisnet 18 Jul 2022

Nonlinear iris texture deformations due to pupil size variations are one of the main factors responsible for within-class variance of genuine comparison scores in iris recognition.

Artificial Pupil Dilation for Data Augmentation in Iris Semantic Segmentation

dpbenalcazar/ArtificialDilation 2022 IEEE Sixth Ecuador Technical Chapters Meeting (ETCM) 2022

The results indicate that our data augmentation method can improve segmentation accuracy up to 15% for images with high pupil dilation, which creates a more reliable iris recognition pipeline, even under extreme dilation.