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Paper Abstract and Keywords
Presentation 2022-03-03 13:00
FMR estimation of facial recognition systems using extreme value theory
Hikotaro Suzuki, Mitsutoshi Himaga (JAISA) BioX2021-46 CNR2021-27
Abstract (in Japanese) (See Japanese page) 
(in English) The accuracy of biometric systems has been improved dramatically in the past decade. As the number of samples required for the FMR calculations increases, the cost of data collection has become a major issue. In order to reduce the cost, two statistical models based on extreme value theory are proposed in this paper. The proposed models are compared and evaluated on facial recognition algorithms and the corresponding false match rates are estimated.
Keyword (in Japanese) (See Japanese page) 
(in English) Biometric Authentication / Facial Recognition System / Extreme Value Theory / Accuracy Estimation / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 396, BioX2021-46, pp. 1-6, March 2022.
Paper # BioX2021-46 
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)
Download PDF BioX2021-46 CNR2021-27

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) 
Topics (in English)  
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) FMR estimation of facial recognition systems using extreme value theory 
Sub Title (in English)  
Keyword(1) Biometric Authentication  
Keyword(2) Facial Recognition System  
Keyword(3) Extreme Value Theory  
Keyword(4) Accuracy Estimation  
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1st Author's Name Hikotaro Suzuki  
1st Author's Affiliation Japan Automatic Identification Systems Association (JAISA)
2nd Author's Name Mitsutoshi Himaga  
2nd Author's Affiliation Japan Automatic Identification Systems Association (JAISA)
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Speaker Author-1 
Date Time 2022-03-03 13:00:00 
Presentation Time 30 minutes 
Registration for BioX 
Paper # BioX2021-46, CNR2021-27 
Volume (vol) vol.121 
Number (no) no.396(BioX), no.397(CNR) 
Page pp.1-6 
#Pages
Date of Issue 2022-02-24 (BioX, CNR) 


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