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 |
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) |
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ITS2015-59 IE2015-101 |
Conference Information |
Committee |
ITS IE ITE-AIT ITE-HI ITE-ME ITE-MMS ITE-CE |
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) |
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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) |
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Keyword(1) |
unitary transform |
Keyword(2) |
kernel method |
Keyword(3) |
kernel eigenface |
Keyword(4) |
template protection method |
Keyword(5) |
biometrics |
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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 |
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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 |
#Pages |
6 |
Date of Issue |
2016-02-15 (ITS, IE) |
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