Publications
P-score: Performance aligned normalization and an evaluation in score-level multi-biometric fusion
| Author | Damer, Naser; Boutros, Fadi; Terhörst, Philipp; Braun, Andreas; Kuijper, Arjan |
|---|---|
| Date | 2018 |
| Type | Conference Paper |
| Abstract | Normalization is an important step for different fusion, classification, and decision making applications. Previous normalization approaches considered bringing values from different sources into a common range or distribution characteristics. In this work we propose a new normalization approach that transfers values into a normalized space where their relative performance in binary decision making is aligned across their whole range. Multi-biometric verification is a typical problem where information from different sources are normalized and fused to make a binary decision and therefore a good platform to evaluate the proposed normalization. We conducted an evaluation on two publicly available databases and showed that the normalization solution we are proposing consistently outperformed state-of-the-art and best practice approaches, e.g. by reducing the false rejection rate at 0.01% false acceptance rate by 60- 75% compared to the widely used z-score normalization under the sum-rule fusion. |
| Conference | European Signal Processing Conference (EUSIPCO) 2018 |
| Project | CRISP |
| Url | https://publica.fraunhofer.de/handle/publica/402616 |
