Multimodal biometric authentication using quality signals in mobile communications

Author

Bigun, Josef ; Fierrez-Aguilar, J. ; Ortega-Garcia, J. ; Gonzalez-Rodriguez, J.

Author_Institution

Halmstad Univ., Sweden

fYear

2003

fDate

17-19 Sept. 2003

Firstpage

2

Lastpage

11

Abstract

The elements of multimodal authentication along with system models are presented. These include the machine experts as well as machine supervisors. In particular, fingerprint and speech based systems serve as illustration of a mobile authentication application. A novel signal adaptive supervisor, based on the input biometric signal quality, is evaluated. Experimental results on data collected from mobile telephones are reported; they demonstrate the benefits of the proposed scheme.

Keywords

authorisation; face recognition; feature extraction; fingerprint identification; image enhancement; learning (artificial intelligence); mobile radio; pattern matching; speaker recognition; biometric signal quality; face recognition; feature extraction; fingerprint based systems; image enhancement; machine experts; machine supervisors; mobile communications; mobile telephones; multimodal authentication; multimodal biometric authentication; pattern comparison; quality signals; signal adaptive supervisor; speech based systems; supervisor training; Authentication; Biometrics; Classification tree analysis; Decision trees; Feature extraction; Fingerprint recognition; Mobile communication; Neural networks; Pattern recognition; Speech;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Processing, 2003.Proceedings. 12th International Conference on

Print_ISBN

0-7695-1948-2

Type

conf

DOI

10.1109/ICIAP.2003.1234017

Filename

1234017