Evaluation of serial and parallel multibiometric systems under spoofing attacks
By Zahid Akhtar, Giorgio Fumera, Gian Luca Marcialis, Fabio Roli. 2012
72 citations recorded by the source corpus.
Subfields: Genetics, Information Systems, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Sébastien Marcel
- Julian Fierrez
- Junichi Yamagishi
- James M. Ferryman
- Javier Galbally
- Peter Wild
- Lulu Chen
- Petru Radu
In Information Systems
- Sébastien Marcel
- N. Evans
- Julian Fierrez
- Javier Galbally
- André Anjos
- Haizhou Li
- Junichi Yamagishi
- James M. Ferryman
In Signal Processing
- N. Evans
- Sébastien Marcel
- Junichi Yamagishi
- Julian Fierrez
- Haizhou Li
- Tomi H. Kinnunen
- Javier Galbally
- André Anjos
Citations in the corpus
- Robust multimodal face and fingerprint fusion in the presence of spoofing attacks (2016, background): “As in many other approaches assessing face and fingerprint fusion [18,35], also this work builds on a chimeric dataset pairing face and fingerprints originally originating from different people.”
- Towards anomaly detection for increased security in multibiometric systems: Spoofing-resistant 1-median fusion eliminating outliers (2014, background): “[2] conducted the first study to examine the vulnerability of both parallel and serial fusion in bimodal (face and fingerprint) configuration against spoofing attacks.”
- Spoofing and countermeasures for speaker verification: A survey (2015, background): “We note, however, that Rodriques et al. (2009) and Akhtar et al. (2012) suggests it might suffice to spoof only one modality (or sub-system) under a score fusion setting in the case where the spoofing of a single, significantly weighted sub-system is particularly effective.”
- Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition (2014, background): “…the so-called direct or spoofing attacks have motivated the biometric community to study the vulnerabilities against this type of fraudulent actions in modalities such as the iris [2], the fingerprint [17], the face [13], the signature [18], or even the gait [19] and multimodal approaches [20].”
- Biometric Antispoofing Methods: A Survey in Face Recognition (2014, background): “, circumventing a multibiometric system implies breaking all unimodal modules) has already been shown to be untrue as, in many cases, bypassing just one of the unimodal subsystems is enough to gain access to the complete application [75], [85]–[88].”
- Anti-spoofing in Action: Joint Operation with a Verification System (2013, background): “However, in many cases spoofing only one modality can be enough, as discussed in [21], [13], [1].”