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Performance Anchored Score Normalization for Multi-Biometric Fusion

Damer, Naser ; Opel, Alexander ; Nouak, Alexander (2013)
Performance Anchored Score Normalization for Multi-Biometric Fusion.
Advances in Visual Computing. 9th International Symposium, ISVC 2013.
doi: 10.1007/978-3-642-41939-3_7
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2013
Autor(en): Damer, Naser ; Opel, Alexander ; Nouak, Alexander
Art des Eintrags: Bibliographie
Titel: Performance Anchored Score Normalization for Multi-Biometric Fusion
Sprache: Englisch
Publikationsjahr: 2013
Verlag: Springer, Berlin, Heidelberg, New York
Reihe: Lecture Notes in Computer Science (LNCS); 8034
Veranstaltungstitel: Advances in Visual Computing. 9th International Symposium, ISVC 2013
DOI: 10.1007/978-3-642-41939-3_7
Kurzbeschreibung (Abstract):

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.

Freie Schlagworte: Business Field: Digital society, Biometric fusion, Biometrics, Algorithms
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 12 Nov 2018 11:16
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