Iris Segmentation
14 papers with code • 3 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Iris Segmentation
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CASIA-Iris-Complex
UBIRIS.v2
Latest papers with no code
Iris R-CNN: Accurate Iris Segmentation in Non-cooperative Environment
Despite the significant advances in iris segmentation, accomplishing accurate iris segmentation in non-cooperative environment remains a grand challenge.
Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets
A data augmentation methodology is presented and applied to generate a large dataset of off-axis iris regions and train a low-complexity deep neural network.
DeepIrisNet2: Learning Deep-IrisCodes from Scratch for Segmentation-Robust Visible Wavelength and Near Infrared Iris Recognition
In addition, we present a dual CNN iris segmentation pipeline comprising of a iris/pupil bounding boxes detection network and a semantic pixel-wise segmentation network.
Influence of segmentation on deep iris recognition performance
How important is the use of traditional segmentation methods in a deep learning setting?
Unconstrained Iris Segmentation using Convolutional Neural Networks
A small amount of retraining of the visible light model (using a few samples from a near-infrared dataset) yields a tuned network accurate in both settings.
Robust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks
In this paper, two approaches for robust iris segmentation based on Fully Convolutional Networks (FCNs) and Generative Adversarial Networks (GANs) are described.
The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments
The use of iris as a biometric trait is widely used because of its high level of distinction and uniqueness.
Data-Driven Segmentation of Post-mortem Iris Images
This paper presents a method for segmenting iris images obtained from the deceased subjects, by training a deep convolutional neural network (DCNN) designed for the purpose of semantic segmentation.
SegDenseNet: Iris Segmentation for Pre and Post Cataract Surgery
This paper presents an efficient iris segmentation algorithm with variations due to cataract and post cataract surgery.
An End to End Deep Neural Network for Iris Segmentation in Unconstraint Scenarios
Finally, the proposed model is compared with SegNet-basic, and a near-optimal tuning of the network is compared to a selection of other state-of-art iris segmentation algorithms.
