Identity retrieval in biometric access control systems using multimedia fusion

Girija Chetty, Renuka Biswas, Julian Goodwin

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

1 Citation (Scopus)

Abstract

In this paper, we propose a novel multimedia sensor fusion approach based on heterogeneous sensors for biometric access control applications. The proposed fusion technique uses multiple acoustic and visual sensors for extracting dominant biometric cues, and combines them with non-dominant cues. The performance evaluation of the proposed fusion protocol and a novel cascaded authentication approach using a 3D stereovision database shows a significant improvement in performance and robustness
Original languageEnglish
Title of host publicationInternational Conference on Neural Information Processing ICONIP 2010
Subtitle of host publicationNeural Information Processing. Models and Applications
EditorsK. W. Wong, B. S. U. Mendis, A. Bouzerdoum
Place of PublicationGermany
PublisherSpringer
Pages590-597
Number of pages8
Volume2
ISBN (Print)9783642175336
DOIs
Publication statusPublished - 2010
Event17th International Conference, Neural Information Processing: Models and Applications - Sydney, Australia
Duration: 22 Nov 201025 Nov 2010

Conference

Conference17th International Conference, Neural Information Processing: Models and Applications
CountryAustralia
CitySydney
Period22/11/1025/11/10

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  • Cite this

    Chetty, G., Biswas, R., & Goodwin, J. (2010). Identity retrieval in biometric access control systems using multimedia fusion. In K. W. Wong, B. S. U. Mendis, & A. Bouzerdoum (Eds.), International Conference on Neural Information Processing ICONIP 2010: Neural Information Processing. Models and Applications (Vol. 2, pp. 590-597). Springer. https://doi.org/10.1007/978-3-642-17534-3_73