PRA Lab’s Biometric Unit was founded by Prof. Gian Luca Marcialis, who is currently head of the research group, since 2001. The PRA Lab’s Biometric Unit has gained a significant experience in fingerprints and faces recognition systems, detection of presentation attacks, deepfakes, and anomalous events in crowds.
Personal recognition through physiological and behavioral characteristics.
Anomaly detection in crowd analysis refers to the ability to detect events that deviate from normality.
Combining information coming from different biometric traits and soft-biometrics.
Analysis of behavior and biomedical signals in the biometric domain.
Supported by the Italian Ministry of Education, University and Research (MIUR) within the PRIN2017, the project has been included in the Global Top 100 list of AI projects addressing the 17 UNS-DGs (United Nations Strategic Development Goals) by the International Research Center for Artificial Intelligence under the auspices of UNESCO.
In order to cover the lack of common data and protocols to assess the performance of fingerprint presentation attack detection (PAD) systems, the Biometric Unit organized the International Fingerprint Liveness Detection Competition (LivDet) since from 2009. The LivDet competitions aim to assess the performance of fingerprint PAD algorithms using a common experimental protocol and data sets. The competition is open to academic and industrial institutions which have developed fingerprint PAD algorithms.