Luma Omar
Designing a facial spoofing database for processed image attacks
Omar, Luma; Ivrissimtzis, Ioannis
Abstract
Face recognition systems are used for user authentication in everyday applications such as logging into a laptop or smartphone without need to memorize a password. However, they are still vulnerable to spoofing attacks, as for example when an imposter gains access to a system by holding a printed photo of the rightful user in front of the camera. In this paper we are concerned with the design of face image databases for evaluating the performance of anti-spoofing algorithms against such attacks. We present a new database, supporting testing against an enhancement of the attack, where the imposter processes the stolen image before printing it. By testing a standard antispoofing algorithm on the new database we show a significant decrease in its performance and, as a simple remedy to this problem, we propose the inclusion of processed imposter images into the training set.
Citation
Omar, L., & Ivrissimtzis, I. (2016). Designing a facial spoofing database for processed image attacks. In 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016) : Madrid, Spain, 23-25 November 2016 ; proceedings. https://doi.org/10.1049/ic.2016.0073
Conference Name | 7th International Conference on Imaging for Crime Detection and Prevention. |
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Conference Location | Madrid, Spain |
Start Date | Nov 23, 2016 |
End Date | Nov 25, 2016 |
Acceptance Date | Oct 3, 2016 |
Online Publication Date | Nov 7, 2016 |
Publication Date | Nov 23, 2016 |
Deposit Date | Nov 4, 2016 |
Publicly Available Date | Nov 7, 2016 |
Publisher | IET |
Series Title | IET conference proceedings |
Book Title | 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016) : Madrid, Spain, 23-25 November 2016 ; proceedings. |
DOI | https://doi.org/10.1049/ic.2016.0073 |
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Copyright Statement
This paper is a postprint of a paper submitted to and accepted for publication in 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016) and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.
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