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Iris Recognition

6 papers with code · Computer Vision

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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

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

Open Source Presentation Attack Detection Baseline for Iris Recognition

26 Sep 2018CVRL/OpenSourceIrisPAD

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

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

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

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