A copula is a multivariate joint distribution that is defined on the n-dimensional unit cube [0; 1]n such that every marginal distribution is uniform on the interval [0; 1]. A copula can be used to capture the dependencies or associations that exist between variables in a multivariate distribution. In the context of score-level fusion, a copula may be used to describe the correlation between multiple matchers.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media, LLC
About this entry
Cite this entry
(2009). Copula. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_742
Download citation
DOI: https://doi.org/10.1007/978-0-387-73003-5_742
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-73002-8
Online ISBN: 978-0-387-73003-5
eBook Packages: Computer ScienceReference Module Computer Science and Engineering