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Paper Abstract and Keywords
Presentation 2016-02-22 10:00
Secure classification based on kernel method using unitary transformation
Ibuki Nakamura, Yuko Saito, Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) ITS2015-59 IE2015-101
Abstract (in Japanese) (See Japanese page) 
(in English) This study considers a template protection scheme based on an random unitary transformation, where the template consists of the features extracted from the biometric trait.
In this paper, we apply the template protection scheme based on an unitary transformation to a kernel-based classification, and the recognition performance is theoretically considered.
Previous studies showed that the Euclidean distance between templates protected by a unitary transform is the same as that between original ones, and there is no degradation of the recognition performances of using l2-norm minimization.
In this study, we show a new property that there is no degradation of the recognition performances of using a kernel-based classification.
The proposed method can obtain the same recognition performance as authentication with original templates even though protected templates are applied to the same procedure as the authentication with original templates.
We perform some face recognition experiments of using a kernel eigenface as one of the kernel-based classification schemes experimentally to confirm the validity of the theory.
Keyword (in Japanese) (See Japanese page) 
(in English) unitary transform / kernel method / kernel eigenface / template protection method / biometrics / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 459, IE2015-101, pp. 17-22, Feb. 2016.
Paper # IE2015-101 
Date of Issue 2016-02-15 (ITS, IE) 
ISSN Print edition: ISSN 0913-5685    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
Conference Date 2016-02-22 - 2016-02-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2016-02-ITS-IE-AIT-HI-ME-MMS-CE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Secure classification based on kernel method using unitary transformation 
Sub Title (in English)  
Keyword(1) unitary transform  
Keyword(2) kernel method  
Keyword(3) kernel eigenface  
Keyword(4) template protection method  
Keyword(5) biometrics  
1st Author's Name Ibuki Nakamura  
1st Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
2nd Author's Name Yuko Saito  
2nd Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
3rd Author's Name Sayaka Shiota  
3rd Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
4th Author's Name Hitoshi Kiya  
4th Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
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Speaker Author-1 
Date Time 2016-02-22 10:00:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2015-59, IE2015-101 
Volume (vol) vol.115 
Number (no) no.458(ITS), no.459(IE) 
Page pp.17-22 
Date of Issue 2016-02-15 (ITS, IE) 

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