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Found 15 papers, 4 papers with code
Reversing the Irreversible: A Survey on Inverse Biometrics
With the widespread use of biometric recognition, several issues related to the privacy and security provided by this technology have been recently raised and analysed.
General Framework to Evaluate Unlinkability in Biometric Template Protection Systems
The wide deployment of biometric recognition systems in the last two decades has raised privacy concerns regarding the storage and use of biometric data.
Fingerprint Liveness Detection Based on Quality Measures
A new fingerprint parameterization for liveness detection based on quality measures is presented.
On the vulnerability of fingerprint verification systems to fake fingerprint attacks
A new method to generate gummy fingers is presented.
Introduction to Presentation Attack Detection in Iris Biometrics and Recent Advances
Iris recognition technology has attracted an increasing interest in the last decades in which we have witnessed a migration from research laboratories to real world applications.
Introduction to Presentation Attack Detection in Face Biometrics and Recent Advances
The main scope of this chapter is to serve as an introduction to face presentation attack detection, including key resources and advances in the field in the last few years.
The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)
It is comprised of more than 600 individuals acquired simultaneously in three scenarios: 1) over the Internet, 2) in an office environment with desktop PC, and 3) in indoor/outdoor environments with mobile portable hardware.
BiosecurID: a multimodal biometric database
A new multimodal biometric database, acquired in the framework of the BiosecurID project, is presented together with the description of the acquisition setup and protocol.
A high performance fingerprint liveness detection method based on quality related features
A new software-based liveness detection approach using a novel fingerprint parameterization based on quality related features is proposed.
Direct attacks using fake images in iris verification
In this contribution, the vulnerabilities of iris-based recognition systems to direct attacks are studied.
SVC-onGoing: Signature Verification Competition
This article presents SVC-onGoing, an on-going competition for on-line signature verification where researchers can easily benchmark their systems against the state of the art in an open common platform using large-scale public databases, such as DeepSignDB and SVC2021_EvalDB, and standard experimental protocols.
ICDAR 2021 Competition on On-Line Signature Verification
This paper describes the experimental framework and results of the ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021).
Face Image Quality Assessment: A Literature Survey
The performance of face analysis and recognition systems depends on the quality of the acquired face data, which is influenced by numerous factors.
Biometric Quality: Review and Application to Face Recognition with FaceQnet
After a gentle introduction to the general topic of biometric quality and a review of past efforts in face quality metrics, in the present work, we address the need for better face quality metrics by developing FaceQnet.
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
Several conclusions can be drawn from this work, most notably: 1) we managed to employ an existing ICAO compliance framework and a pretrained CNN to automatically label data with quality information, 2) we trained FaceQnet for quality estimation by fine-tuning a pre-trained face recognition network (ResNet-50), and 3) we have shown that the predictions from FaceQnet are highly correlated with the face recognition accuracy of a state-of-the-art commercial system not used during development.
