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Paper Abstract and Keywords
Presentation 2026-06-23 13:50
A Study on Personal Authentication Using a Hemispherical Acoustic Ear Recognition Device and a Complex-Input Neural Network
Haruki Matsui, Shota Toyooka (Kansai Univ), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ) SIP2026-33 BioX2026-33 IE2026-33 MI2026-33
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we propose a hemispherical acoustic ear authentication device that physically mitigates variations in measurement distance for personal authentication based on the acoustic characteristics of the auricle. Using 20 different auricle models, data were acquired at a total of 121 locations, each displaced by up to 5 mm in any direction from the reference position. To construct the authentication model, we introduce a novel complex-input convolutional neural network (2D-CNN) that treats the real and imaginary parts of the complex spectrogram as independent input channels. This architecture enables effective learning of both amplitude and phase information, thereby constructing a feature space robust against sound-pressure fluctuations caused by positional deviations. Experimental results demonstrate that the proposed method achieves extremely high personal authentication performance, attaining an Equivalent Error Rate (EER) of 0.56% even under positional misalignment conditions. These results verify the effectiveness of both the proposed device and the proposed model.
Keyword (in Japanese) (See Japanese page) 
(in English) Biometric authentication / acoustic ear recognition / features / complex spectrogram / positional deviation / occlusion sensitivity / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 84, BioX2026-33, pp. 171-176, June 2026.
Paper # BioX2026-33 
Date of Issue 2026-06-15 (SIP, BioX, IE, MI) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
Download PDF SIP2026-33 BioX2026-33 IE2026-33 MI2026-33

Conference Information
Committee ITE-IST ITE-ME IE BioX SIP MI  
Conference Date 2026-06-22 - 2026-06-23 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To BioX 
Conference Code 2026-06-IST-ME-IE-BioX-SIP-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Personal Authentication Using a Hemispherical Acoustic Ear Recognition Device and a Complex-Input Neural Network 
Sub Title (in English)  
Keyword(1) Biometric authentication  
Keyword(2) acoustic ear recognition  
Keyword(3) features  
Keyword(4) complex spectrogram  
Keyword(5) positional deviation  
Keyword(6) occlusion sensitivity  
Keyword(7)  
Keyword(8)  
1st Author's Name Haruki Matsui  
1st Author's Affiliation Kansai University (Kansai Univ)
2nd Author's Name Shota Toyooka  
2nd Author's Affiliation Kansai University (Kansai Univ)
3rd Author's Name Shunsuke Kita  
3rd Author's Affiliation Osaka Research Institute of Industrial Science and Technology (ORIST)
4th Author's Name Yoshinobu Kajikawa  
4th Author's Affiliation Kansai University (Kansai Univ)
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Speaker Author-1 
Date Time 2026-06-23 13:50:00 
Presentation Time 25 minutes 
Registration for BioX 
Paper # SIP2026-33, BioX2026-33, IE2026-33, MI2026-33 
Volume (vol) vol.126 
Number (no) no.83(SIP), no.84(BioX), no.85(IE), no.86(MI) 
Page pp.171-176 
#Pages 6 
Date of Issue 2026-06-15 (SIP, BioX, IE, MI) 

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