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Greatest papers with code

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

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

20 Feb 2020BoydAidan/BTAS2019DeepFeatureExtraction

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.

IRIS RECOGNITION

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

Open Source Presentation Attack Detection Baseline for Iris Recognition

26 Sep 2018CVRL/RaspberryPiOpenSourceIris

This paper proposes the first, known to us, open source presentation attack detection (PAD) solution to distinguish between authentic iris images (possibly wearing clear contact lenses) and irises with textured contact lenses.

IRIS RECOGNITION SEMANTIC 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

ThirdEye: Triplet Based Iris Recognition without Normalization

13 Jul 2019sohaib50k/ThirdEye---Iris-recognition-using-triplets

We observe equal error rates of 1. 32%, 9. 20%, and 0. 59% on the ND-0405, UbirisV2, and IITD datasets respectively.

IRIS RECOGNITION

D-NetPAD: An Explainable and Interpretable Iris Presentation Attack Detector

2 Jul 2020iPRoBe-lab/D-NetPAD

An iris recognition system is vulnerable to presentation attacks, or PAs, where an adversary presents artifacts such as printed eyes, plastic eyes, or cosmetic contact lenses to circumvent the system.

IRIS RECOGNITION

Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection

25 Nov 2018akuehlka/emvlc-ipad

The adoption of large-scale iris recognition systems around the world has brought to light the importance of detecting presentation attack images (textured contact lenses and printouts).

CROSS-DOMAIN IRIS PRESENTATION ATTACK DETECTION IRIS RECOGNITION MULTI-VIEW LEARNING

Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition

13 Jul 2018CVRL/domain-specific-BSIF-for-iris-recognition

One important point is that all applications of BSIF in iris recognition have used the original BSIF filters, which were trained on image patches extracted from natural images.

DOMAIN ADAPTATION EYE TRACKING IRIS RECOGNITION TEXTURE CLASSIFICATION