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Paper Abstract and Keywords
Presentation 2024-07-22 13:25
The OU-ISIR multimodal biometric database and its performance evaluation
Chi Xu, Xiang Li, Allam Shehata, Yasushi Yagi (Osaka Univ.) ISEC2024-13 SITE2024-10 BioX2024-23 HWS2024-13 ICSS2024-17 EMM2024-19
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we describe a new multimodal biometric database named ``OU-ISIR Multimodal Biometric Database''. An early version of this database consists of more than 100 subjects, which will increase to around 400 subjects in the future. Eleven biometric modalities are provided in this database, which, to the best of our knowledge, is the largest number of modalities among existing multimodal databases. Specifically, for each subject, we collected his/her iris, palm veins, 2D face images, signature images, gait videos, and speech data, which are typically included in existing multimodal databases. Additionally, some modalities not commonly considered in previous datasets are also included, that is, full-body images, online signature time series data, brain signals, inertial data (e.g., acceleration), and health data (e.g., heartbeat). We provide baseline results by evaluating benchmark algorithms on some individual modalities, and discuss possible future works using this database. We believe this database can facilitate future research on person authentication using unimodal, multimodal, and even cross-modal approaches, as well as research on brain signal and health status analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) Multimodal / biometrics / database / performance evaluation / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 122, BioX2024-23, pp. 32-37, July 2024.
Paper # BioX2024-23 
Date of Issue 2024-07-15 (ISEC, SITE, BioX, HWS, ICSS, EMM) 
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 ISEC2024-13 SITE2024-10 BioX2024-23 HWS2024-13 ICSS2024-17 EMM2024-19

Conference Information
Committee EMM BioX ISEC SITE ICSS HWS IPSJ-CSEC IPSJ-SPT 
Conference Date 2024-07-22 - 2024-07-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Sapporo Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To BioX 
Conference Code 2024-07-EMM-BioX-ISEC-SITE-ICSS-HWS-CSEC-SPT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The OU-ISIR multimodal biometric database and its performance evaluation 
Sub Title (in English)  
Keyword(1) Multimodal  
Keyword(2) biometrics  
Keyword(3) database  
Keyword(4) performance evaluation  
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1st Author's Name Chi Xu  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Xiang Li  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Allam Shehata  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Yasushi Yagi  
4th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2024-07-22 13:25:00 
Presentation Time 25 minutes 
Registration for BioX 
Paper # ISEC2024-13, SITE2024-10, BioX2024-23, HWS2024-13, ICSS2024-17, EMM2024-19 
Volume (vol) vol.124 
Number (no) no.120(ISEC), no.121(SITE), no.122(BioX), no.123(HWS), no.124(ICSS), no.125(EMM) 
Page pp.32-37 
#Pages 6 
Date of Issue 2024-07-15 (ISEC, SITE, BioX, HWS, ICSS, EMM) 

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