Paper Abstract and Keywords |
Presentation |
2022-03-03 14:00
A Study on Ear Personal Authentication System Using Spectrogram Sora Masuda (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2021-48 CNR2021-29 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, biometric authentication, such as fingerprint and face recognition, has become widespread in smartphones. In this paper, we investigate the use of acoustic time series data from the pinna for personal biometric authentication on smartphones. We have studied a personal authentication system using the Pinna Related Transfer Function (PRTF), which is an acoustic transfer function measured from the pinna. However, since the position of the smartphone changes every time it is placed on the ear, there is a problem that the authentication rate decreases. In this paper, we propose a personal authentication system using spectrograms of reflected sounds from the pinna, and verify the authentication possibilities of the system. The results show that the personal authentication using spectrograms of reflected sounds from the pinna is effective. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Biometric authentication / Pinna / Spectrogram / Time series data / Convolutional Neural Network (CNN) / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 396, BioX2021-48, pp. 13-16, March 2022. |
Paper # |
BioX2021-48 |
Date of Issue |
2022-02-24 (BioX, CNR) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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BioX2021-48 CNR2021-29 |
Conference Information |
Committee |
CNR BioX |
Conference Date |
2022-03-03 - 2022-03-04 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
BioX |
Conference Code |
2022-03-CNR-BioX |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Ear Personal Authentication System Using Spectrogram |
Sub Title (in English) |
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Biometric authentication |
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Pinna |
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Spectrogram |
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Time series data |
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Convolutional Neural Network (CNN) |
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1st Author's Name |
Sora Masuda |
1st Author's Affiliation |
Kansai University (Kansai Univ.) |
2nd Author's Name |
Shunsuke Kita |
2nd Author's Affiliation |
Osaka Research Institute of Industrial Science and Technology (ORIST) |
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Yoshinobu Kajikawa |
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Kansai University (Kansai Univ.) |
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Speaker |
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Date Time |
2022-03-03 14:00:00 |
Presentation Time |
30 minutes |
Registration for |
BioX |
Paper # |
BioX2021-48, CNR2021-29 |
Volume (vol) |
vol.121 |
Number (no) |
no.396(BioX), no.397(CNR) |
Page |
pp.13-16 |
#Pages |
4 |
Date of Issue |
2022-02-24 (BioX, CNR) |
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