Abstract
FISWG characteristic descriptors are facial features that can be used for evidence evaluation during forensic case work. In this paper we investigate the discriminating power of a biometric system that uses these characteristic descriptors as features under different forensic use cases. We show that in every forensic use case we can find characteristic descriptors that exhibit moderate to low discriminating power. In all but one use cases, a commercial face recognition system outperforms the characteristic descriptors. However, in low resolution surveillance camera images, some (combination of) characteristic descriptors yield better results than commercial systems.
| Original language | English |
|---|---|
| Title of host publication | 2016 International Conference of the Biometrics Special Interest Group (BIOSIG) |
| Pages | 16429109 |
| Number of pages | 7 |
| DOIs | |
| Publication status | Published - 21 Sept 2016 |
| Event | 15th International Conference of the Biometrics Special Interest Group, BIOSIG 2016 - Darmstadt, Germany, Darmstadt, Germany Duration: 21 Sept 2016 → 23 Sept 2016 Conference number: 15 |
Conference
| Conference | 15th International Conference of the Biometrics Special Interest Group, BIOSIG 2016 |
|---|---|
| Abbreviated title | BIOSIG 2016 |
| Country/Territory | Germany |
| City | Darmstadt |
| Period | 21/09/16 → 23/09/16 |
| Other | 21-23 Sep 2016 |
Keywords
- 2025 OA procedure
- forensic use
- face recognition system
- evidence evaluation
- FISWG characteristic descriptor
- SCS-Safety
- Facial feature
- low resolution surveillance camera image
- biometric system discriminating power
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