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Performance anchored score normalization for multi-biometric fusion

: Damer, Naser; Opel, Alexander; Nouak, Alexander


Bebis, G.:
Advances in visual computing. 9th International Symposium, ISVC 2013. Vol.2 : Rethymnon, Crete, Greece, July 29-31, 2013; Proceedings
Berlin: Springer, 2013 (Lecture Notes in Computer Science 8034)
ISBN: 978-3-642-41938-6 (Print)
ISBN: 3-642-41938-0
ISBN: 978-3-642-41939-3 (Online)
International Symposium on Visual Computing (ISVC) <9, 2013, Rethymnon/Crete>
Fraunhofer IGD ()
biometric fusion; biometrics; algorithms

This work presents a family of novel normalization techniques for score-level multi-biometric fusion. The proposed normalization is not only concerned to bring comparison scores to a common range and scale, it also focuses in bringing certain operational performance points in the distribution into alignment. The Performance Anchored Normalization (PAN) algorithms discussed here were tested on the extended Multi Modal Verification for Teleservices and Security applications database (XM2VTS) and proved to outperform conventional score normalization techniques in most tests. The tests were performed with combination fusion rules and presented as biometric verification performance measures.