Affiliations: Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy
Note: [] Corresponding author. Gian Luca Marcialis, Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d'Armi – I-09123, Cagliari, Italy. Tel.: +39 070 675 5893; Fax: +39 070 675 5900; E-mails: marcialis@diee.unica.it (Gian Luca Marcialis), roli@diee.unica.it (Fabio Roli), luca.didaci@diee.unica.it (Luca Didaci).
Abstract: The score-level fusion approaches for fingerprint verification have been widely investigated. However, this investigation has been performed by studying each approach independently from the others, thus using different acquisition sensors, matching algorithms, fusion rules, and data sets. Due to this strong variability, the literature is lack of an experimental investigation aimed to fairly compare the various approaches. This is the scope of the present paper, from the point of view of the performance improvement especially. In our opinion, this investigation can allow to confirm state-of-the-art results by further experimental evidences.
