  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.
