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

Fingerprint

Biometrics
Access control
Fusion reactions
Control systems
Sensors
Authentication
Acoustics

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). Germany: Springer. https://doi.org/10.1007/978-3-642-17534-3_73
Chetty, Girija ; Biswas, Renuka ; Goodwin, Julian. / Identity retrieval in biometric access control systems using multimedia fusion. International Conference on Neural Information Processing ICONIP 2010: Neural Information Processing. Models and Applications. editor / K. W. Wong ; B. S. U. Mendis ; A. Bouzerdoum. Vol. 2 Germany : Springer, 2010. pp. 590-597
@inproceedings{698061d317604c0c933eccba4b41a226,
title = "Identity retrieval in biometric access control systems using multimedia fusion",
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",
author = "Girija Chetty and Renuka Biswas and Julian Goodwin",
year = "2010",
doi = "10.1007/978-3-642-17534-3_73",
language = "English",
isbn = "9783642175336",
volume = "2",
pages = "590--597",
editor = "Wong, {K. W.} and Mendis, {B. S. U.} and A. Bouzerdoum",
booktitle = "International Conference on Neural Information Processing ICONIP 2010",
publisher = "Springer",
address = "Netherlands",

}

Chetty, G, Biswas, R & Goodwin, J 2010, Identity retrieval in biometric access control systems using multimedia fusion. in KW Wong, BSU Mendis & A Bouzerdoum (eds), International Conference on Neural Information Processing ICONIP 2010: Neural Information Processing. Models and Applications. vol. 2, Springer, Germany, pp. 590-597, 17th International Conference, Neural Information Processing: Models and Applications, Sydney, Australia, 22/11/10. https://doi.org/10.1007/978-3-642-17534-3_73

Identity retrieval in biometric access control systems using multimedia fusion. / Chetty, Girija; Biswas, Renuka; Goodwin, Julian.

International Conference on Neural Information Processing ICONIP 2010: Neural Information Processing. Models and Applications. ed. / K. W. Wong; B. S. U. Mendis; A. Bouzerdoum. Vol. 2 Germany : Springer, 2010. p. 590-597.

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

TY - GEN

T1 - Identity retrieval in biometric access control systems using multimedia fusion

AU - Chetty, Girija

AU - Biswas, Renuka

AU - Goodwin, Julian

PY - 2010

Y1 - 2010

N2 - 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

AB - 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

U2 - 10.1007/978-3-642-17534-3_73

DO - 10.1007/978-3-642-17534-3_73

M3 - Conference contribution

SN - 9783642175336

VL - 2

SP - 590

EP - 597

BT - International Conference on Neural Information Processing ICONIP 2010

A2 - Wong, K. W.

A2 - Mendis, B. S. U.

A2 - Bouzerdoum, A.

PB - Springer

CY - Germany

ER -

Chetty G, Biswas R, Goodwin J. Identity retrieval in biometric access control systems using multimedia fusion. In Wong KW, Mendis BSU, Bouzerdoum A, editors, International Conference on Neural Information Processing ICONIP 2010: Neural Information Processing. Models and Applications. Vol. 2. Germany: Springer. 2010. p. 590-597 https://doi.org/10.1007/978-3-642-17534-3_73