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Paper Abstract and Keywords
Presentation 2023-10-12 15:25
A Study on Ear Acoustic Personal Authentication System Using Domain Transformation for Numerical Analysis Data
Masafumi Morimoto (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2023-60
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a new personal authentication system using ear pinna transfer functions.
This proposed method is constructed by combining a classification model built from numerical analysis data and a transformation model
that converts measurement data into the domain of numerical analysis data for utilizing the model. With this approach,
we address the challenge of accurately capturing individual differences in ear pinna transfer functions due to the characteristics of measurement devices
and measurement environments in practical measurements, which can lead to a decrease in authentication accuracy.
As a result, by using the proposed method, HTER improved by 8.0 % and AUC increased by 0.15 compared to conventional methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Biometric authentication / Pinna / Generative Adversarial Networks(GAN) / Convolutional Neural Network (CNN) / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 209, BioX2023-60, pp. 12-15, Oct. 2023.
Paper # BioX2023-60 
Date of Issue 2023-10-05 (BioX) 
ISSN Online edition: ISSN 2432-6380
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 BioX2023-60

Conference Information
Committee BioX  
Conference Date 2023-10-12 - 2023-10-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Nobumoto Ohama Memorial Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To BioX 
Conference Code 2023-10-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Ear Acoustic Personal Authentication System Using Domain Transformation for Numerical Analysis Data 
Sub Title (in English)  
Keyword(1) Biometric authentication  
Keyword(2) Pinna  
Keyword(3) Generative Adversarial Networks(GAN)  
Keyword(4) Convolutional Neural Network (CNN)  
1st Author's Name Masafumi Morimoto  
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)
3rd Author's Name Yoshinobu Kajikawa  
3rd Author's Affiliation Kansai University. (Kansai Univ.)
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Speaker Author-1 
Date Time 2023-10-12 15:25:00 
Presentation Time 20 minutes 
Registration for BioX 
Paper # BioX2023-60 
Volume (vol) vol.123 
Number (no) no.209 
Page pp.12-15 
Date of Issue 2023-10-05 (BioX) 

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