Study on comparison of individuality of ear canal shape
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R. Kimura, S. Yano, R. Fujitsuka, N. Wakui, T. Arakawa, and T. Koshinaka, "Study on comparison of individuality of ear canal shape," Paper 10348, (2020 May.). doi:
R. Kimura, S. Yano, R. Fujitsuka, N. Wakui, T. Arakawa, and T. Koshinaka, "Study on comparison of individuality of ear canal shape," Paper 10348, (2020 May.). doi:
Abstract: Ear acoustic authentication, a type of biometric authentication, uses the acoustic characteristics of the ear canal as a
feature. Because ear acoustic authentication acquires features using earphones, the process of authentication is easy,
and the method has attracted much attention recently. However, the mechanism of the acoustic characteristics of
the ear canal has not been sufficiently studied. In this study, we verified two methods, the image matching method
and Slicing method. In conclusion, Slicing method was found to outperform the image matching method, based on
the results of this study.
@article{kimura2020study,
author={kimura, riki and yano, shohei and fujitsuka, rui and wakui, naoki and arakawa, takayuki and koshinaka, takafumi},
journal={journal of the audio engineering society},
title={study on comparison of individuality of ear canal shape},
year={2020},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{kimura2020study,
author={kimura, riki and yano, shohei and fujitsuka, rui and wakui, naoki and arakawa, takayuki and koshinaka, takafumi},
journal={journal of the audio engineering society},
title={study on comparison of individuality of ear canal shape},
year={2020},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={ear acoustic authentication, a type of biometric authentication, uses the acoustic characteristics of the ear canal as a
feature. because ear acoustic authentication acquires features using earphones, the process of authentication is easy,
and the method has attracted much attention recently. however, the mechanism of the acoustic characteristics of
the ear canal has not been sufficiently studied. in this study, we verified two methods, the image matching method
and slicing method. in conclusion, slicing method was found to outperform the image matching method, based on
the results of this study.},}
TY - paper
TI - Study on comparison of individuality of ear canal shape
SP -
EP -
AU - Kimura, Riki
AU - Yano, Shohei
AU - Fujitsuka, Rui
AU - Wakui, Naoki
AU - Arakawa, Takayuki
AU - Koshinaka, Takafumi
PY - 2020
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2020
TY - paper
TI - Study on comparison of individuality of ear canal shape
SP -
EP -
AU - Kimura, Riki
AU - Yano, Shohei
AU - Fujitsuka, Rui
AU - Wakui, Naoki
AU - Arakawa, Takayuki
AU - Koshinaka, Takafumi
PY - 2020
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2020
AB - Ear acoustic authentication, a type of biometric authentication, uses the acoustic characteristics of the ear canal as a
feature. Because ear acoustic authentication acquires features using earphones, the process of authentication is easy,
and the method has attracted much attention recently. However, the mechanism of the acoustic characteristics of
the ear canal has not been sufficiently studied. In this study, we verified two methods, the image matching method
and Slicing method. In conclusion, Slicing method was found to outperform the image matching method, based on
the results of this study.
Ear acoustic authentication, a type of biometric authentication, uses the acoustic characteristics of the ear canal as a
feature. Because ear acoustic authentication acquires features using earphones, the process of authentication is easy,
and the method has attracted much attention recently. However, the mechanism of the acoustic characteristics of
the ear canal has not been sufficiently studied. In this study, we verified two methods, the image matching method
and Slicing method. In conclusion, Slicing method was found to outperform the image matching method, based on
the results of this study.
Authors:
Kimura, Riki; Yano, Shohei; Fujitsuka, Rui; Wakui, Naoki; Arakawa, Takayuki; Koshinaka, Takafumi
Affiliations:
NIT, Nagaoka College; NIT, Nagaoka College; NIT, Nagaoka Colleg;, NIT, Nagaoka College; NEC Corporation; NEC Corporation(See document for exact affiliation information.)
AES Convention:
148 (May 2020)
Paper Number:
10348
Publication Date:
May 28, 2020Import into BibTeX
Subject:
Applications
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http://www.aes.org/e-lib/browse.cfm?elib=20765