On the vulnerability of palm vein recognition to spoofing attacks
By Pedro Tome, Sébastien Marcel. 2015
105 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, 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 Computer Vision and Pattern Recognition
- Battista Biggio
- Fabio Roli
- Giorgio Fumera
- Gian Luca Marcialis
- Yevgeni Koucheryavy
- Aleksandr Ometov
- Venkatesh Naik
- Shaik Mustafa
In Signal Processing
- Fabio Roli
- Battista Biggio
- Giorgio Fumera
- Gian Luca Marcialis
- Giorgio Giacinto
- Davide Maiorca
- Sergey D. Andreev
- Yevgeni Koucheryavy
Citations in the corpus
- Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems (2016, background): “Notably, this is also true for more recent work on presentation attacks, even against different biometrics, like palm vein and iris [30], [31].”
- Multi-Factor Authentication: A Survey (2018, background): “At the current stage of development, vein biometrics are still vulnerable to spoofing attacks [103,104].”