Iris Recognition
21 papers with code • 0 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Iris Recognition
Libraries
Use these libraries to find Iris Recognition models and implementations
UFPR-Periocular
CASIA-Iris-Complex
UBIRIS.v2
Latest papers with no code
Forensic Iris Image-Based Post-Mortem Interval Estimation
To assess the feasibility of the iris-based PMI estimation, convolutional neural networks-based models (VGG19, DenseNet121, ResNet152, and Inception_v3) were trained to predict the PMI from (a) near-infrared (NIR), (b) visible (RGB), and (c) multispectral forensic iris images.
EyePreserve: Identity-Preserving Iris Synthesis
Synthesis of same-identity biometric iris images, both for existing and non-existing identities while preserving the identity across a wide range of pupil sizes, is complex due to intricate iris muscle constriction mechanism, requiring a precise model of iris non-linear texture deformations to be embedded into the synthesis pipeline.
Iris Presentation Attack: Assessing the Impact of Combining Vanadium Dioxide Films with Artificial Eyes
We observe that the addition of VO2 films on the surface of artificial eyes can cause the PA detection methods to misclassify them as bonafide eyes in some cases.
Alpha-wolves and Alpha-mammals: Exploring Dictionary Attacks on Iris Recognition Systems
A dictionary attack in a biometric system entails the use of a small number of strategically generated images or templates to successfully match with a large number of identities, thereby compromising security.
Exploring Deep Learning Image Super-Resolution for Iris Recognition
In this work we test the ability of deep learning methods to provide an end-to-end mapping between low and high resolution images applying it to the iris recognition problem.
A novel method for iris recognition using BP neural network and parallel computing by the aid of GPUs (Graphics Processing Units)
In this paper, we seek a new method in designing an iris recognition system.
Uniqueness of Iris Pattern Based on AR Model
We determine the sustainable maximum population for each dataset based on the quality of the images.
Empirical Assessment of End-to-End Iris Recognition System Capacity
Iris is an established modality in biometric recognition applications including consumer electronics, e-commerce, border security, forensics, and de-duplication of identity at a national scale.
Deep Learning for Iris Recognition: A Review
This paper collects 120 relevant papers to summarize the development of iris recognition based on deep learning.
Longitudinal Performance of Iris Recognition in Children: Time Intervals up to Six years
The temporal stability of iris recognition performance is core to its success as a biometric modality.
