Name
Title | ||
|---|---|---|
Vulnerability Assessment and Presentation Attack Detection Using a Set of Distinct Finger Vein Recognition Algorithms |
Abstract | ||
|---|---|---|
The act of presenting a forged biometric sample to a bio-metric capturing device is referred to as presentation at-tack. During the last decade this type of attack has been addressed for various biometric traits and is still a widely researched topic. This study follows the idea from a previously published work which employs the usage of twelve algorithms for finger vein recognition in order to perform an extensive vulnerability analysis on a presentation at-tack database. The present work adopts this idea and examines two already existing finger vein presentation attack databases with the goal to evaluate how hazardous these presentation attacks are from a wider perspective. Additionally, this study shows that by combining the matching scores from different algorithms, presentation attack detection can be achieved. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IJCB52358.2021.9484351 | 2021 IEEE International Joint Conference on Biometrics (IJCB) |
Keywords | DocType | ISSN |
vulnerability assessment,presentation attack detection,finger vein recognition algorithms,forged biometric sample,biometric traits,vulnerability analysis,presentation attacks,finger vein presentation attack databases,presentation attack database,biometric capturing device | Conference | 2474-9680 |
ISBN | Citations | PageRank |
978-1-6654-3781-3 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johannes Schuiki | 1 | 0 | 0.34 |
| Georg Wimmer | 2 | 19 | 4.06 |
| Andreas Uhl | 3 | 1958 | 223.07 |