Improving Biometric Device Interoperability by Likelihood Ratio-based Quality Dependent Score Normalization

Author

Poh, Norman ; Kittler, Josef ; Bourlai, Thirimachos

Author_Institution

Surrey Univ., Guildford

fYear

2007

fDate

27-29 Sept. 2007

Firstpage

1

Lastpage

5

Abstract

As biometric technology is being deployed, it will be a common situation to have a template acquired by one biometric device to be used by another during testing. In our problem formulation, we assume that the device may not be known to the system but can be inferred by a set of automatically derived quality measures. The proposed method of device inference results in a novel device-specific quality-dependent score normalisation called the DS-norm. Experiments based on the BioSecure DS2 data set confirm the benefits and feasibility of the proposed approach.

Keywords

biometrics (access control); inference mechanisms; open systems; probability; DS-norm; biometric device interoperability; device inference result; likelihood ratio-based quality dependent score normalization; posterior probability estimation; Bayesian methods; Bioinformatics; Biometrics; Data security; Detectors; Fingerprint recognition; Information security; Large-scale systems; National security; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Biometrics: Theory, Applications, and Systems, 2007. BTAS 2007. First IEEE International Conference on

Conference_Location

Crystal City, VA

Print_ISBN

978-1-4244-1596-0

Electronic_ISBN

978-1-4244-1597-7

Type

conf

DOI

10.1109/BTAS.2007.4401964

Filename

4401964