Search Results for author: Gian Luca Marcialis

Found 18 papers, 1 papers with code

Serial fusion of multi-modal biometric systems

no code implementations24 Jan 2024 Gian Luca Marcialis, Paolo Mastinu, Fabio Roli

Serial, or sequential, fusion of multiple biometric matchers has been not thoroughly investigated so far.

LivDet2023 -- Fingerprint Liveness Detection Competition: Advancing Generalization

no code implementations27 Sep 2023 Marco Micheletto, Roberto Casula, Giulia Orrù, Simone Carta, Sara Concas, Simone Maurizio La Cava, Julian Fierrez, Gian Luca Marcialis

The International Fingerprint Liveness Detection Competition (LivDet) is a biennial event that invites academic and industry participants to prove their advancements in Fingerprint Presentation Attack Detection (PAD).

3D Face Reconstruction: the Road to Forensics

no code implementations20 Sep 2023 Simone Maurizio La Cava, Giulia Orrù, Martin Drahansky, Gian Luca Marcialis, Fabio Roli

Therefore, it provides an analysis of the achievements of 3D face reconstruction algorithms from surveillance videos and mugshot images and discusses the current obstacles that separate 3D face reconstruction from an active role in forensic applications.

3D Face Reconstruction Face Recognition

3D Face Reconstruction for Forensic Recognition -- A Survey

no code implementations3 Feb 2023 Simone Maurizio La Cava, Giulia Orrù, Tomáš Goldmann, Martin Drahansky, Gian Luca Marcialis

3D face reconstruction algorithms from images and videos are applied to many fields, from plastic surgery to the entertainment sector, thanks to their advantageous features.

3D Face Reconstruction Relation

Review of the Fingerprint Liveness Detection (LivDet) competition series: from 2009 to 2021

no code implementations15 Feb 2022 Marco Micheletto, Giulia Orrù, Roberto Casula, David Yambay, Gian Luca Marcialis, Stephanie C. Schuckers

Fingerprint authentication systems are highly vulnerable to artificial reproductions of fingerprint, called fingerprint presentation attacks.

Fingerprint recognition with embedded presentation attacks detection: are we ready?

no code implementations20 Oct 2021 Marco Micheletto, Gian Luca Marcialis, Giulia Orrù, Fabio Roli

Accordingly, this paper explores the fusion of PAD into verification systems by proposing a novel investigation instrument: a performance simulator based on the probabilistic modeling of the relationships among the Receiver Operating Characteristics (ROC) of the two individual systems when PAD and verification stages are implemented sequentially.

LivDet 2021 Fingerprint Liveness Detection Competition -- Into the unknown

no code implementations23 Aug 2021 Roberto Casula, Marco Micheletto, Giulia Orrù, Rita Delussu, Sara Concas, Andrea Panzino, Gian Luca Marcialis

The International Fingerprint Liveness Detection Competition is an international biennial competition open to academia and industry with the aim to assess and report advances in Fingerprint Presentation Attack Detection.

Are Adaptive Face Recognition Systems still Necessary? Experiments on the APE Dataset

1 code implementation8 Oct 2020 Giulia Orrù, Marco Micheletto, Julian Fierrez, Gian Luca Marcialis

In the last five years, deep learning methods, in particular CNN, have attracted considerable attention in the field of face-based recognition, achieving impressive results.

Face Recognition

Experimental results on palmvein-based personal recognition by multi-snapshot fusion of textural features

no code implementations13 Jul 2020 Mohanad Abukmeil, Gian Luca Marcialis

Although the literature proposed several approaches for palmvein recognition, the palmvein performance is still affected by identification and verification errors.

Quantization

Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?

no code implementations7 Jul 2020 Roberto Casula, Giulia Orrù, Daniele Angioni, Xiaoyi Feng, Gian Luca Marcialis, Fabio Roli

We investigated the threat level of realistic attacks using latent fingerprints against sensors equipped with state-of-art liveness detectors and fingerprint verification systems which integrate such liveness algorithms.

Analysis of "User-Specific Effect" and Impact of Operator Skills on Fingerprint PAD Systems

no code implementations18 Jul 2019 Giulia Orrù, Pierluigi Tuveri, Luca Ghiani, Gian Luca Marcialis

Fingerprint Liveness detection, or presentation attacks detection (PAD), that is, the ability of detecting if a fingerprint submitted to an electronic capture device is authentic or made up of some artificial materials, boosted the attention of the scientific community and recently machine learning approaches based on deep networks opened novel scenarios.

LivDet in Action - Fingerprint Liveness Detection Competition 2019

no code implementations2 May 2019 Giulia Orrù, Roberto Casula, Pierluigi Tuveri, Carlotta Bazzoni, Giovanna Dessalvi, Marco Micheletto, Luca Ghiani, Gian Luca Marcialis

The International Fingerprint liveness Detection Competition (LivDet) is an open and well-acknowledged meeting point of academies and private companies that deal with the problem of distinguishing images coming from reproductions of fingerprints made of artificial materials and images relative to real fingerprints.

LivDet 2017 Fingerprint Liveness Detection Competition 2017

no code implementations14 Mar 2018 Valerio Mura, Giulia Orrù, Roberto Casula, Alessandra Sibiriu, Giulia Loi, Pierluigi Tuveri, Luca Ghiani, Gian Luca Marcialis

Fingerprint Presentation Attack Detection (FPAD) deals with distinguishing images coming from artificial replicas of the fingerprint characteristic, made up of materials like silicone, gelatine or latex, and images coming from alive fingerprints.

Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015

no code implementations6 Sep 2016 Luca Ghiani, David A. Yambay, Valerio Mura, Gian Luca Marcialis, Fabio Roli, Stephanie A. Schuckers

The goals for the Liveness Detection (LivDet) competitions are to compare software-based fingerprint liveness detection and artifact detection algorithms (Part 1), as well as fingerprint systems which incorporate liveness detection or artifact detection capabilities (Part 2), using a standardized testing protocol and large quantities of spoof and live tests.

Artifact Detection

Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems

no code implementations6 Sep 2016 Battista Biggio, Giorgio Fumera, Gian Luca Marcialis, Fabio Roli

Prior work has shown that multibiometric systems are vulnerable to presentation attacks, assuming that their matching score distribution is identical to that of genuine users, without fabricating any fake trait.

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