Biometric liveness checking using multimodal fuzzy fusion

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

25 Citations (Scopus)
9 Downloads (Pure)

Abstract

In this paper we propose a novel fusion protocol based on fuzzy fusion of face and voice features for checking liveness in secure identity authentication systems based on face and voice biometrics. Liveness checking can detect fraudulent impostor attacks on the security systems, and ensure that biometric cues are acquired from a live person who is actually present at the time of capture for authenticating the identity. The proposed fuzzy fusion of audio visual features is based on mutual dependency models which extract the spatio-temporal correlation between face and voice dynamics during speech production, Performance evaluation in terms of DET (Detector Error Tradeoff) curves and EERs (Equal Error Rates) on publicly available audiovisual speech databases show a significant improvement in performance of proposed fuzzy fusion of face-voice features based on mutual dependency models over conventional fusion techniques
Original languageEnglish
Title of host publication2010 IEEE World Congress on Computational Intelligence (FUZZ-IEEE 2010)
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-8
Number of pages8
ISBN (Electronic)9781424469215
ISBN (Print)9781424469192, 9781424469208
DOIs
Publication statusPublished - 2010
Event2010 IEEE World Congress on Computational Intelligence (FUZZ-IEEE 2010) - Barcelona, Barcelona, Spain
Duration: 18 Jul 201023 Jul 2010

Conference

Conference2010 IEEE World Congress on Computational Intelligence (FUZZ-IEEE 2010)
CountrySpain
CityBarcelona
Period18/07/1023/07/10

Fingerprint Dive into the research topics of 'Biometric liveness checking using multimodal fuzzy fusion'. Together they form a unique fingerprint.

  • Cite this

    Chetty, G. (2010). Biometric liveness checking using multimodal fuzzy fusion. In 2010 IEEE World Congress on Computational Intelligence (FUZZ-IEEE 2010) (pp. 1-8). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/FUZZY.2010.5584864