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Paper Abstract and Keywords
Presentation 2023-03-01 14:15
[Invited Talk] A study on biometric performance evaluation using artificially generated sample images
Mitsutoshi Himaga (JAISA) BioX2022-68 CNR2022-34
Abstract (in Japanese) (See Japanese page) 
(in English) In order to evaluate the accuracy of biometric systems, it is necessary to collect biometric samples from a large number of subjects. The cost of building and maintaining such a large-scale database is dramatically increasing along with the huge demand of strict and appropriate PII protection and management from the society. In this study, the feasibility of using artificially generated images for biometric accuracy evaluation is discussed. The requirements and caveats for fair evaluations are also proposed aiming to be included in the future relevant international standards. In light of recent biometric trend, facial biometrics has been chosen as a target modality in this paper.
Keyword (in Japanese) (See Japanese page) 
(in English) Biometric Authentication / Facial Recognition System / Accuracy Evaluation / Artificial images / Morphing / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 394, BioX2022-68, pp. 36-41, March 2023.
Paper # BioX2022-68 
Date of Issue 2023-02-22 (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 BioX2022-68 CNR2022-34

Conference Information
Committee CNR BioX  
Conference Date 2023-03-01 - 2023-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To BioX 
Conference Code 2023-03-CNR-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on biometric performance evaluation using artificially generated sample images 
Sub Title (in English)  
Keyword(1) Biometric Authentication  
Keyword(2) Facial Recognition System  
Keyword(3) Accuracy Evaluation  
Keyword(4) Artificial images  
Keyword(5) Morphing  
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1st Author's Name Mitsutoshi Himaga  
1st Author's Affiliation Japan Automatic Identification Systems Association (JAISA)
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Speaker Author-1 
Date Time 2023-03-01 14:15:00 
Presentation Time 60 minutes 
Registration for BioX 
Paper # BioX2022-68, CNR2022-34 
Volume (vol) vol.122 
Number (no) no.394(BioX), no.395(CNR) 
Page pp.36-41 
#Pages 6 
Date of Issue 2023-02-22 (BioX, CNR) 

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