Direct attacks using fake images in iris verification
Computer Vision and Pattern Recognition
2021-11-02 v1
Abstract
In this contribution, the vulnerabilities of iris-based recognition systems to direct attacks are studied. A database of fake iris images has been created from real iris of the BioSec baseline database. Iris images are printed using a commercial printer and then, presented at the iris sensor. We use for our experiments a publicly available iris recognition system, which some modifications to improve the iris segmentation step. Based on results achieved on different operational scenarios, we show that the system is vulnerable to direct attacks, pointing out the importance of having countermeasures against this type of fraudulent actions.
Cite
@article{arxiv.2111.00178,
title = {Direct attacks using fake images in iris verification},
author = {Virginia Ruiz-Albacete and Pedro Tome-Gonzalez and Fernando Alonso-Fernandez and Javier Galbally and Julian Fierrez and Javier Ortega-Garcia},
journal= {arXiv preprint arXiv:2111.00178},
year = {2021}
}
Comments
Published at European Workshop on Biometrics and Identity Management (BIOID)