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Designing a facial spoofing database for processed image attacks

Omar, Luma; Ivrissimtzis, Ioannis

Designing a facial spoofing database for processed image attacks Thumbnail


Authors

Luma Omar



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.
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 Mar 29, 2024
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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