Direct attacks using fake images in iris verification
This addresses security risks in biometric authentication for users and systems, but is incremental as it applies existing attack methods to a new dataset.
The study investigated vulnerabilities of iris recognition systems to direct attacks using printed fake iris images, finding the system was vulnerable across different scenarios, highlighting the need for countermeasures.
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.