# Direct attacks using fake images in iris verification

arXiv: https://arxiv.org/abs/2111.00178 · HTML: https://mlsanity.com/paper/2111.00178/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 13 references that are in the map.
- First posted on arXiv 30 Oct 2021.

## Built on by (most cited first, 4 of 4)

- [A high performance fingerprint liveness detection method based on quality related features](https://mlsanity.com/paper/2111.01898/) (2021)
- [Introduction to Presentation Attack Detection in Iris Biometrics and Recent Advances](https://mlsanity.com/paper/2111.12465/) (2021)
- [Functional Connectivity Methods for EEG-based Biometrics on a Large, Heterogeneous Dataset](https://mlsanity.com/paper/2206.01475/) (2022)
- [Fingerprint Liveness Detection Based on Quality Measures](https://mlsanity.com/paper/2207.04809/) (2022)

## Abstract (arXiv)

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.