Non-Forensic Odontological Biometrics. / Busch, Christoph; Wolthusen, Stephen D.

Proc. Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP '09). IEEE Computer Society Press, 2009. p. 1105-1109.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published

Standard

Non-Forensic Odontological Biometrics. / Busch, Christoph; Wolthusen, Stephen D.

Proc. Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP '09). IEEE Computer Society Press, 2009. p. 1105-1109.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Busch, C & Wolthusen, SD 2009, Non-Forensic Odontological Biometrics. in Proc. Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP '09). IEEE Computer Society Press, pp. 1105-1109. https://doi.org/10.1109/IIH-MSP.2009.259

APA

Busch, C., & Wolthusen, S. D. (2009). Non-Forensic Odontological Biometrics. In Proc. Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP '09) (pp. 1105-1109). IEEE Computer Society Press. https://doi.org/10.1109/IIH-MSP.2009.259

Vancouver

Busch C, Wolthusen SD. Non-Forensic Odontological Biometrics. In Proc. Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP '09). IEEE Computer Society Press. 2009. p. 1105-1109 https://doi.org/10.1109/IIH-MSP.2009.259

Author

Busch, Christoph ; Wolthusen, Stephen D. / Non-Forensic Odontological Biometrics. Proc. Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP '09). IEEE Computer Society Press, 2009. pp. 1105-1109

BibTeX

@inproceedings{4754e90d8aa440ad911a0b2a3c8d10e3,
title = "Non-Forensic Odontological Biometrics",
abstract = "While techniques such as biometric face recognition observe facial landmarks and local texture for identification and verification, temporal variability and long term impact of aging reduce recognition accuracy considerably. Facial bone and moreover dental structures, are, however, both exposed directly and much less variable and are routinely used in forensic applications. We propose to use novel optical and ultrasound signal acquisition mechanisms to obtain non-invasive images of dental structures avoiding issues associated with radiographic techniques and review the persistent features of the oral cavity and their suitability to biometric recognition with a view to longterm stability and amenability to detection and liveness testing.",
author = "Christoph Busch and Wolthusen, {Stephen D.}",
year = "2009",
month = sep,
day = "12",
doi = "10.1109/IIH-MSP.2009.259",
language = "English",
isbn = "978-1-4244-4717-6",
pages = "1105--1109",
booktitle = "Proc. Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP '09)",
publisher = "IEEE Computer Society Press",

}

RIS

TY - GEN

T1 - Non-Forensic Odontological Biometrics

AU - Busch, Christoph

AU - Wolthusen, Stephen D.

PY - 2009/9/12

Y1 - 2009/9/12

N2 - While techniques such as biometric face recognition observe facial landmarks and local texture for identification and verification, temporal variability and long term impact of aging reduce recognition accuracy considerably. Facial bone and moreover dental structures, are, however, both exposed directly and much less variable and are routinely used in forensic applications. We propose to use novel optical and ultrasound signal acquisition mechanisms to obtain non-invasive images of dental structures avoiding issues associated with radiographic techniques and review the persistent features of the oral cavity and their suitability to biometric recognition with a view to longterm stability and amenability to detection and liveness testing.

AB - While techniques such as biometric face recognition observe facial landmarks and local texture for identification and verification, temporal variability and long term impact of aging reduce recognition accuracy considerably. Facial bone and moreover dental structures, are, however, both exposed directly and much less variable and are routinely used in forensic applications. We propose to use novel optical and ultrasound signal acquisition mechanisms to obtain non-invasive images of dental structures avoiding issues associated with radiographic techniques and review the persistent features of the oral cavity and their suitability to biometric recognition with a view to longterm stability and amenability to detection and liveness testing.

U2 - 10.1109/IIH-MSP.2009.259

DO - 10.1109/IIH-MSP.2009.259

M3 - Conference contribution

SN - 978-1-4244-4717-6

SP - 1105

EP - 1109

BT - Proc. Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP '09)

PB - IEEE Computer Society Press

ER -