Fusion of multiple fingerprint matchers by single-layer perceptron with class-separation loss function

TitleFusion of multiple fingerprint matchers by single-layer perceptron with class-separation loss function
Publication TypeJournal Article
Year of Publication2005
AuthorsMarcialis, GL, Roli, F
JournalPattern Recognition Letters
Volume26
Pagination1830-1839
Keywordsbio02, biometrics
Abstract

In this paper, a perceptron-based algorithm for fusion of multiple fingerprint matchers is presented. The person to be identified submits to the personal authentication system her/his fingerprint and claimed identity. Multiple fingerprint matchers provide a set of verification scores, that are then fused by a single-layer perceptron with class-separation loss function. Weights of such perceptron are explicitly optimised to increase the separation between genuine users and impostors (i.e., unauthorized users). Reported experiments show that such modified perceptron allows improving the performances and the robustness of the best individual fingerprint matcher, and outperforming some commonly used fusion rules.

Citation Key 38