Multi-Level Liveness Verification for Face-Voice Biometric Authentication

Girija Chetty, Michael Wagner

Research output: A Conference proceeding or a Chapter in BookConference contribution

40 Citations (Scopus)
34 Downloads (Pure)

Abstract

In this paper we present the details of the multilevel liveness verification (MLLV) framework proposed for realizing a secure face-voice biometric authentication system that can thwart different types of audio and video replay attacks. The proposed MLLV framework based on novel feature extraction and multimodal fusion approaches, uncovers the static and dynamic relationship between voice and face information from speaking faces, and allows multiple levels of security. Experiments with three different speaking corpora VidTIMIT, UCBN and AVOZES shows a significant improvement in system performance in terms of DET curves and equal error rates (EER) for different types of replay and synthesis attacks
Original languageEnglish
Title of host publication2006 Biometrics Symposium Special Session on Research at the Biometric Consortium Conference
EditorsLarue Williams
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Print)9781424404865
DOIs
Publication statusPublished - 2006
Event2006 Biometrics Symposium - Baltimore, United States
Duration: 19 Sep 200621 Sep 2006

Conference

Conference2006 Biometrics Symposium
CountryUnited States
CityBaltimore
Period19/09/0621/09/06

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  • Cite this

    Chetty, G., & Wagner, M. (2006). Multi-Level Liveness Verification for Face-Voice Biometric Authentication. In L. Williams (Ed.), 2006 Biometrics Symposium Special Session on Research at the Biometric Consortium Conference (pp. 1-6). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BCC.2006.4341615