Abstract
The popularity of biometrics and its widespread use introduces privacy risks. To mitigate these risks, solutions such as the helper-data system, fuzzy vault, fuzzy extractors, and cancelable biometrics were introduced, also known as the field of template protection. In parallel to these developments, fusion of multiple sources of biometric information have shown to improve the verification performance of the biometric system. In this work we analyze fusion of the protected template from two 3D recognition algorithms (multi-algorithm fusion) at feature-, score-, and decision-level. We show that fusion can be applied at the known fusion-levels with the template protection technique known as the Helper-Data System. We also illustrate the required changes of the Helper-Data System and its corresponding limitations. Furthermore, our experimental results, based on 3D face range images of the FRGC v2 dataset, show that indeed fusion improves the verification performance.
Original language | Undefined |
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Title of host publication | IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems, 2009. BTAS '09. |
Place of Publication | Piscataway |
Publisher | IEEE |
Pages | 1-8 |
Number of pages | 8 |
ISBN (Print) | 978-1-4244-5019-0 |
DOIs | |
Publication status | Published - 28 Sept 2009 |
Event | 3rd IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS 2009 - Washington, United States Duration: 28 Sept 2009 → 30 Sept 2009 Conference number: 3 |
Publication series
Name | |
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Publisher | IEEE Computer Society Press |
Conference
Conference | 3rd IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS 2009 |
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Abbreviated title | BTAS |
Country/Territory | United States |
City | Washington |
Period | 28/09/09 → 30/09/09 |
Keywords
- METIS-264265
- Fusion
- Biometrics
- EWI-17050
- Template Protection
- EC Grant Agreement nr.: FP6/026845
- SCS-Safety
- IR-69009