Abstract
In Biometrics, facial uniqueness is commonly inferred from impostor similarity scores. In this paper, we show that such uniqueness measures are highly unstable in the presence of image quality variations like pose, noise and blur. We also experimentally demonstrate the instability of a recently introduced impostor-based uniqueness measure of [Klare and Jain 2013] when subject to poor quality facial images.
| Original language | Undefined |
|---|---|
| Title of host publication | Biometric Technologies in Forensic Science, BTFS 2013 |
| Place of Publication | Nijmegen |
| Publisher | Centre for Language and Speech Technology, Radboud University |
| Pages | - |
| Number of pages | 6 |
| ISBN (Print) | not assigned |
| Publication status | Published - Oct 2013 |
Publication series
| Name | |
|---|---|
| Publisher | Centre for Language and Speech Technology, Radboud University |
Keywords
- EC Grant Agreement nr.: FP7-PEOPLE-ITN-2008
- SCS-Safety
- facial uniqueness
- IR-87561
- EWI-23857
- Image quality
- METIS-300102
- impostor based uniqueness measure
Cite this
Dutta, A., Veldhuis, R. N. J., & Spreeuwers, L. J. (2013). Can facial uniqueness be inferred from impostor scores? In Biometric Technologies in Forensic Science, BTFS 2013 (pp. -). Nijmegen: Centre for Language and Speech Technology, Radboud University.