Presentation 2014-02-17
A Generation Scheme of Protected Templates for Sparse Representation-based Face Recognition
Masakazu FURUKAWA, Yuichi MURAKI, Masaaki FUJIYOSHI, Yoshihide TONOMURA, Hitoshi KIYA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In face recognition systems, facial images are recognized by comparing features (template) extracted from them. This paper proposes a generation scheme of protected templates which are tolerant to template leakage and applies the scheme to the sparse representation-based face recognition. Template leakage leads to disclose users' personal information so that templates should be protected. The proposed scheme for template protection consists of random pixel permutation and downsampling. It is difficult to reconstruct visual information of facial images from the templates protected with the proposed scheme even though parameters for random pixel permutation and down-sampling are disclosed to the public. Furthermore, the templates protected with the proposed scheme can be more effectively compressed in terms of the data size than those with the conventional scheme using random projection because the histogram of the templates protected with the proposed scheme is denser than that with the conventional scheme. Experimental results with two major database of facial images demonstrate the effectiveness of the proposed scheme in terms of recognition performance, difficulty of visual information reconstruction, and data compression.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Template protection / cancelable biometrics / biometrics / JPEG-LS / image compression / l^1-norm
Paper # ITS2013-42,IE2013-107
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Conference Information
Committee IE
Conference Date 2014/2/10(1days)
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Paper Information
Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Generation Scheme of Protected Templates for Sparse Representation-based Face Recognition
Sub Title (in English)
Keyword(1) Template protection
Keyword(2) cancelable biometrics
Keyword(3) biometrics
Keyword(4) JPEG-LS
Keyword(5) image compression
Keyword(6) l^1-norm
1st Author's Name Masakazu FURUKAWA
1st Author's Affiliation Dept. of Information and Communication Systems, Tokyo Metropolitan University()
2nd Author's Name Yuichi MURAKI
2nd Author's Affiliation Dept. of Information and Communication Systems, Tokyo Metropolitan University
3rd Author's Name Masaaki FUJIYOSHI
3rd Author's Affiliation Dept. of Information and Communication Systems, Tokyo Metropolitan University
4th Author's Name Yoshihide TONOMURA
4th Author's Affiliation NTT Network Innovation Laboratories, Nippon Telegraph and Telephone Corp.
5th Author's Name Hitoshi KIYA
5th Author's Affiliation Dept. of Information and Communication Systems, Tokyo Metropolitan University
Date 2014-02-17
Paper # ITS2013-42,IE2013-107
Volume (vol) vol.113
Number (no) 434
Page pp.pp.-
#Pages 6
Date of Issue