Is physics-based liveness detection truly possible with a single image?

Document Type

Conference Proceeding

Publication Date

8-31-2010

Abstract

Face recognition is an increasingly popular method for user authentication. However, face recognition is susceptible to playback attacks. Therefore, a reliable way to detect malicious attacks is crucial to the robustness of the system. We propose and validate a novel physics-based method to detect images recaptured from printed material using only a single image. Micro-textures present in printed paper manifest themselves in the specular component of the image. Features extracted from this component allows a linear SVM classifier to achieve 2.2% False Acceptance Rate and 13% False Rejection Rate (6.7% Equal Error Rate). We also show that the classifier can be generalizable to contrast enhanced recaptured images and LCD screen recaptured images without re-training, demonstrating the robustness of our approach. ©2010 IEEE.

Identifier

77955995112 (Scopus)

ISBN

[9781424453085]

Publication Title

Iscas 2010 2010 IEEE International Symposium on Circuits and Systems Nano Bio Circuit Fabrics and Systems

External Full Text Location

https://doi.org/10.1109/ISCAS.2010.5537866

First Page

3425

Last Page

3428

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