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| 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 |
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| 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. |
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| 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 | |
| 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) | |
| Download PDF | BioX2023-60 |
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| 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) |
| Keyword(5) | |
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| 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 |
| #Pages | 4 |
| Date of Issue | 2023-10-05 (BioX) |
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