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Paper Abstract and Keywords
Presentation 2019-03-13 14:05
[Poster Presentation] A privacy preserving culculation method of eigenface using EtC images
Masaki Kitayama, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2018-91
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a face recognition scheme using eigenface and kernel eigenface with EtC (Encryption-then-Compression) images, where EtC images are images encrypted by the method which has been proposed for Encryption-then-Systems with JPEG compression.
Recently, cloud computing has been spreading in many fields.
However, the cloud computing has some serious issues for end users, such as unauthorized use and leak of data, and privacy compromise, due to unreliability of providers and some accident.
Because of such a situation, this paper considers a privacy-preserving face recognition method using eigenface and kernel eigenface.
In this paper, we show inner products and euclidean distances between the centered vectors of pixels in EtC images are preserved, and the encryption steps do not affect feature vectors generated by eigenface and kernel eigenface.
To evaluate the proposed method, we visually compare feature vectors generated from EtC images with ones generated from non-encrypted images.
Moreover, a face recognition experiment is carried out under the use of a support vector machine algorithm.
Keyword (in Japanese) (See Japanese page) 
(in English) eigenface / kernel eigenface / Encryption-then-Compression / encrypted domain / JPEG / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 494, EMM2018-91, pp. 1-6, March 2019.
Paper # EMM2018-91 
Date of Issue 2019-03-06 (EMM) 
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)
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Conference Information
Committee EMM  
Conference Date 2019-03-13 - 2019-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) TBD 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image and Sound Quality, Metrics for Perception and Recognition, Human Auditory and Visual System, etc. 
Paper Information
Registration To EMM 
Conference Code 2019-03-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A privacy preserving culculation method of eigenface using EtC images 
Sub Title (in English)  
Keyword(1) eigenface  
Keyword(2) kernel eigenface  
Keyword(3) Encryption-then-Compression  
Keyword(4) encrypted domain  
Keyword(5) JPEG  
1st Author's Name Masaki Kitayama  
1st Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
2nd Author's Name Hitoshi Kiya  
2nd Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
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Speaker Author-1 
Date Time 2019-03-13 14:05:00 
Presentation Time 60 minutes 
Registration for EMM 
Paper # EMM2018-91 
Volume (vol) vol.118 
Number (no) no.494 
Page pp.1-6 
Date of Issue 2019-03-06 (EMM) 

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