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Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05)
Acoustic Ear Recognition for Person Identification
Buffalo, New York
October 17-October 18
ISBN: 0-7695-2475-3
ASCII Text
x 
 
A. H. M. Akkermans, T. A. M. Kevenaar, D. W. E. Schobben, "Acoustic Ear Recognition for Person Identification," Automatic Identification Advanced Technologies, IEEE Workshop on, pp. 219-223, Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05), 2005.
 
 
BibTex
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@article{ 10.1109/AUTOID.2005.11,
author = {A. H. M. Akkermans and T. A. M. Kevenaar and D. W. E. Schobben},
title = {Acoustic Ear Recognition for Person Identification},
journal ={Automatic Identification Advanced Technologies, IEEE Workshop on},
volume = {0},
year = {2005},
isbn = {0-7695-2475-3},
pages = {219-223},
doi = {http://doi.ieeecomputersociety.org/10.1109/AUTOID.2005.11},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Automatic Identification Advanced Technologies, IEEE Workshop on
TI - Acoustic Ear Recognition for Person Identification
SN - 0-7695-2475-3
SP219
EP223
A1 - A. H. M. Akkermans,
A1 - T. A. M. Kevenaar,
A1 - D. W. E. Schobben,
PY - 2005
KW - null
VL - 0
JA - Automatic Identification Advanced Technologies, IEEE Workshop on
ER -
 
A. H. M. Akkermans, Philips Research
T. A. M. Kevenaar, Philips Research
D. W. E. Schobben, Philips Research
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.
Citation:
A. H. M. Akkermans, T. A. M. Kevenaar, D. W. E. Schobben, "Acoustic Ear Recognition for Person Identification," autoid, pp.219-223, Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05), 2005
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