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  4. P-score: Performance aligned normalization and an evaluation in score-level multi-biometric fusion
 
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2018
Conference Paper
Title

P-score: Performance aligned normalization and an evaluation in score-level multi-biometric fusion

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.
Author(s)
Damer, Naser  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Boutros, Fadi  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Terhörst, Philipp  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Braun, Andreas
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kuijper, Arjan  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
26th European Signal Processing Conference, EUSIPCO 2018  
Project(s)
CRISP
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)  
Conference
European Signal Processing Conference (EUSIPCO) 2018  
DOI
10.23919/EUSIPCO.2018.8553553
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Lead Topic: Smart City

  • Lead Topic: Visual Computing as a Service

  • Research Line: Computer vision (CV)

  • Research Line: Human computer interaction (HCI)

  • multibiometrics

  • information fusion

  • biometric fusion

  • biometric

  • CRISP

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