Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Vulnerabilities in binary face template

Language

English

Abstract

It is generally believed that original face image is hard to be reconstructed from its binary face template and therefore, binary face template is secure. In this paper, we find that binary template is not secure and can be attacked by a masquerade attack. A masquerade face image, which may not "look" similar with the original image, is constructed from binary templates and then employed to access the system. Experimental results show that the successful attacking rate on CMU-PIE and FRGC databases are 100% and 77.14% in around 8 and 33 seconds in a personal computer, respectively. © 2012 IEEE.

Publication Date

2012

Source Publication Title

2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Start Page

105

End Page

110

Conference Location

Providence, Rhode Island

Publisher

IEEE

DOI

10.1109/CVPRW.2012.6239223

Link to Publisher's Edition

http://dx.doi.org/10.1109/CVPRW.2012.6239223

ISBN (print)

9781467316118

ISBN (electronic)

9781467316101

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