Identity retrieval in biometric access control systems using multimedia fusion

Girija Chetty; Renuka Biswas; Julian Goodwin

doi:10.1007/978-3-642-17534-3_73

Identity retrieval in biometric access control systems using multimedia fusion

Girija Chetty, Renuka Biswas, Julian Goodwin

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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 language	English
Title of host publication	International Conference on Neural Information Processing ICONIP 2010
Subtitle of host publication	Neural Information Processing. Models and Applications
Editors	K. W. Wong, B. S. U. Mendis, A. Bouzerdoum
Place of Publication	Germany
Publisher	Springer
Pages	590-597
Number of pages	8
Volume	2
ISBN (Print)	9783642175336
DOIs	https://doi.org/10.1007/978-3-642-17534-3_73
Publication status	Published - 2010
Event	17th International Conference, Neural Information Processing: Models and Applications - Sydney, Australia Duration: 22 Nov 2010 → 25 Nov 2010

Conference

Conference	17th International Conference, Neural Information Processing: Models and Applications
Country/Territory	Australia
City	Sydney
Period	22/11/10 → 25/11/10

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

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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

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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",

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language = "English",

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booktitle = "International Conference on Neural Information Processing ICONIP 2010",

publisher = "Springer",

address = "Netherlands",

note = "17th International Conference, Neural Information Processing: Models and Applications ; Conference date: 22-11-2010 Through 25-11-2010",

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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 Book › Conference contribution › peer-review

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

T2 - 17th International Conference, Neural Information Processing: Models and Applications

Y2 - 22 November 2010 through 25 November 2010

ER -

Identity retrieval in biometric access control systems using multimedia fusion

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