Article

Acoustic Ear Recognition for Person Identification

Authors:

A. H. M. Akkermans,

T. A. M. Kevenaar,

D. W. E. SchobbenAuthors Info & Claims

AUTOID '05: Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies

Pages 219 - 223

https://doi.org/10.1109/AUTOID.2005.11

Published: 17 October 2005 Publication History

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Abstract

In this paper we investigate how the acoustic properties of the pinna - i.e. the outer flap of the ear- and the ear canal can be used as a biometric. The acoustic properties can be measured relatively easy with an inexpensive sensor and feature vectors can be derived with little effort. We achieve equal error rates in the order of 1.5% - 7%, depending on the application device that is used to do the measurement.

Cited By

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Mizuho YKawasaki YAmesaka TSugiura Y(2024)EarAuthCam: Personal Identification and Authentication Method Using Ear Images Acquired with a Camera-Equipped Hearable DeviceProceedings of the Augmented Humans International Conference 202410.1145/3652920.3653059(119-130)Online publication date: 4-Apr-2024
https://dl.acm.org/doi/10.1145/3652920.3653059
Röddiger TClarke CBreitling PSchneegans TZhao HGellersen HBeigl M(2022)Sensing with EarablesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503146:3(1-57)Online publication date: 7-Sep-2022
https://dl.acm.org/doi/10.1145/3550314
Lei Yang Yi Guo Xuan Ding Jinsong Han Yunhao Liu Cheng Wang Changwei Hu (2015)Unlocking Smart Phone through Handwaving BiometricsIEEE Transactions on Mobile Computing10.1109/TMC.2014.234163314:5(1044-1055)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1109/TMC.2014.2341633
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Acoustic Ear Recognition for Person Identification
1. Computing methodologies

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Published In

AUTOID '05: Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies

October 2005

247 pages

ISBN:0769524753

Publisher

IEEE Computer Society

United States

Publication History

Published: 17 October 2005

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Cited By

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Mizuho YKawasaki YAmesaka TSugiura Y(2024)EarAuthCam: Personal Identification and Authentication Method Using Ear Images Acquired with a Camera-Equipped Hearable DeviceProceedings of the Augmented Humans International Conference 202410.1145/3652920.3653059(119-130)Online publication date: 4-Apr-2024
https://dl.acm.org/doi/10.1145/3652920.3653059
Röddiger TClarke CBreitling PSchneegans TZhao HGellersen HBeigl M(2022)Sensing with EarablesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503146:3(1-57)Online publication date: 7-Sep-2022
https://dl.acm.org/doi/10.1145/3550314
Lei Yang Yi Guo Xuan Ding Jinsong Han Yunhao Liu Cheng Wang Changwei Hu (2015)Unlocking Smart Phone through Handwaving BiometricsIEEE Transactions on Mobile Computing10.1109/TMC.2014.234163314:5(1044-1055)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1109/TMC.2014.2341633
Conti MZachia-Zlatea ICrispo BCheung BHui LSandhu RWong D(2011)Mind how you answer me!Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security10.1145/1966913.1966945(249-259)Online publication date: 22-Mar-2011
https://dl.acm.org/doi/10.1145/1966913.1966945
Arbab-Zavar BNixon M(2011)On guided model-based analysis for ear biometricsComputer Vision and Image Understanding10.1016/j.cviu.2010.11.014115:4(487-502)Online publication date: 1-Apr-2011
https://dl.acm.org/doi/10.1016/j.cviu.2010.11.014
Nanni LLumini A(2009)Fusion of color spaces for ear authenticationPattern Recognition10.1016/j.patcog.2008.10.01642:9(1906-1913)Online publication date: 1-Sep-2009
https://dl.acm.org/doi/10.1016/j.patcog.2008.10.016
Akkermans TKevenaar TSchobben D(2006)Acoustic ear recognitionProceedings of the 2006 international conference on Advances in Biometrics10.1007/11608288_93(697-705)Online publication date: 5-Jan-2006
https://dl.acm.org/doi/10.1007/11608288_93

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