Concept

Reconnaissance veineuse

Publications associées (51)

An Introduction to Vein Presentation Attacks and Detection

Sébastien Marcel, André Anjos, Pedro Tomé

The domain of presentation attacks (PA), including vulnerability studies and detection (PAD) remains very much unexplored by available scientific literature in biometric vein recognition. Contrary to other modalities that use visual spectral sensors for ca ...

Springer International Publishing2019

On the Recognition Performance of BioHash-Protected Finger Vein Templates

Sébastien Marcel

This chapter contributes towards advancing finger vein template protection research by presenting the first analysis on the suitability of the BioHashing template protection scheme for finger vein verification systems, in terms of the effect on the system’ ...

Springer Open2019

Towards Measuring the Amount of Discriminatory Information in Finger Vein Biometric Characteristics Using a Relative Entropy Estimator

Sébastien Marcel

This chapter makes the first attempt to quantify the amount of discriminatory information in finger vein biometric characteristics in terms of Relative Entropy (RE) calculated on genuine and impostor comparison scores using a Nearest Neighbour (NN) estimat ...

Springer Open2019

BioID: a Privacy-Friendly Identity Document

Serge Vaudenay, Muhammed Fatih Balli, Fatma Betül Durak

We design a suite of protocols so that a small tamper-resistant device can be used as a biometric identity document which can be scanned by authorized terminals. We target both strongly secure identification and strong privacy. Unlike biometric passports, ...

Springer2019

BioID: A Privacy-Friendly Identity Document

Serge Vaudenay, Muhammed Fatih Balli, Fatma Betül Durak

We design a suite of protocols so that a small tamperresistant device can be used as a biometric identity document which can be scanned by authorized terminals. We target both strongly secure identification and strong privacy. Unlike biometric passports, o ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

A geometry-inspired decision-based attack

Pascal Frossard, Seyed Mohsen Moosavi Dezfooli, Yujia Liu

Deep neural networks have recently achieved tremendous success in image classification. Recent studies have however shown that they are easily misled into incorrect classification decisions by adversarial examples. Adversaries can even craft attacks by que ...

2019

A Geometry-Inspired Decision-Based Attack

Pascal Frossard, Seyed Mohsen Moosavi Dezfooli, Yujia Liu

IEEE COMPUTER SOC2019

Fast cross-correlation based wrist vein recognition algorithm with rotation and translation compensation

Sébastien Marcel, André Anjos, Teodors Eglitis

Most of the research on vein biometrics addresses the problems of either palm or finger vein recognition with a considerably smaller emphasis on wrist vein modality. This paper paves the way to a better understanding of capabilities and challenges in the f ...

2018

Embedding Local Quality Measures in Minutiae-Based Biometric Recognition

Mohammad Hamed Izadi

Degradation in data quality is still a main source of errors in the modern biometric recognition systems. However, the data quality can be embedded in the recognition methods at global and local levels to build more accurate biometric systems. Local qualit ...

EPFL2016

How synthetic fingerprints can improve pre-selection of MCC pairs using local quality measures

Andrzej Drygajlo, Mohammad Hamed Izadi

A major source of errors in fingerprint recognition systems is poor quality of fingerprints. Local quality of fingerprints plays an important role in these systems to ensure high recognition performance. Recently an improved fingerprint matching method is ...

2015

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