PRA Lab

Pattern Recognition and Applications LAB

Biometric Recognition Applications

Fingerprint liveness detection

and recognition: tool for identity

and fake fingerprint recognition

Face Anti-Spoofing tool:

an application to detect face

spoofing attacks with photos

and videos

Biologin: a plugin that replaces

the linux login password

Fingerprint Forensic tool:

application for fingerprint

processing and enhancement

Multimodal Biometric tool:

multi-modal face and

fingerprint authentication

Head Pose Estimation:

Face and facial features

detector able to evaluate

the orientation of the head

Face verification: tool for

identity verification based

on facial recognition

Intelligent Face Logger:

face processing and

recognition using

"soft-biometrics"

RVID: video-surveillance

tool capable of tracking the

position of the people inside

a monitored scene

Biometric Recognition

Something about Biometrics

PRA Lab has been working on biometric recognition systems since 2001. The so-called biometrics are physiological (fingerprint, face, iris, retina, palmprint) or behavioural (whilst voice, gait) human characteristics.

Fingerprint classification

Fingerprint classification consists in classifying the shape given by the flow of ridges and valleys on a fingerprint among the five fundamental classes defined by Sir Edward Henry in 1890.

Multiple biometric systems for personal recognition

PRA Lab concurred to the state-of-the-art advancement on multi-biometric systems based on fingerprint and face biometric traits. Our main contributions consist of developing novel algorithms and frameworks for combining information coming from different biometric traits, and soft-biometrics.

Adaptive biometric systems based on template update

Biometrics are subject to temporal variations so, a "template" acquired at a certain time could be no more representative of the subject’s identity. PRA Lab developed several algorithms aimed to automatic template update. Such algorithms have been developed for both mono- and multimodal systems.

Fingerprint and face liveness detection

Fingerprints can be replicated using artificial materials. PRA Lab has developed a high-level skill on replicating fingerprints by very common materials and has developed several algorithms for detecting the fingerprint liveness which are competitive with those in the literature.