This study investigates a new confidence criterion to improve fusion via a linear combination of scores of several biometric authentication systems. This confidence is based on the margin of making a decision, which answers the question, ``after observing the score of a given system, what is the confidence (or risk) associated to that given access?''. In the context of multimodal and intramodal fusion, such information proves valuable because the margin information can determine which of the systems should be given higher weights. Finally, we propose a linear discriminative framework to combine the margin information with an existing global fusion function. The results of 32 fusion experiments carried out on the XM2VTS multimodal database show that fusion using margin (product of margin and expert opinion) is superior over fusion without the margin information (i.e., the original expert opinion) . Furthermore, combining both sources of information increases fusion performance further.
Henri Weisen, Javier García Hernández
Haomin Sun, Michele Marin, Javier García Hernández, Mikhail Maslov
Olivier Sauter, Ambrogio Fasoli, Basil Duval, Stefano Coda, Timothy Goodman, Jonathan Graves, Yves Martin, Jean-Marc Moret, Ivo Furno, Duccio Testa, Minh Quang Tran, Paolo Ricci, Patrick Blanchard, Holger Reimerdes, Benoît Labit, Jean-Philippe Hogge, Christian Gabriel Theiler, Alessandro Pau, Federico Alberto Alfredo Felici, Laurie Porte, Alexander Karpushov, Antoine Pierre Emmanuel Alexis Merle, Joan Decker, Xavier Llobet, Umar Sheikh, Cristian Galperti, Christian Schlatter, Yanis Andrebe, Rémy Jacquier, Mengdi Kong, Francesco Carpanese, Henri Weisen, Yann Camenen, Jan Horacek, Marco Wischmeier, Nicola Vianello, Federico Nespoli, Fabio Riva, Cedric Kar-Wai Tsui, Kevin Henricus Annemarie Verhaegh, Wouter Vijvers, Anna Teplukhina, Roberto Maurizio, Zhouji Huang, Francesco Sciortino, Claudio Marini, Hoang Bao Le, Oulfa Chellaï, Himank Anand, Josef Kamleitner, Joyeeta Sinha, Bernhard Sieglin, Gergely Papp