@inproceedings{0c1215889e17484b9f4b08a4929b5de6,
title = "Is physics-based liveness detection truly possible with a single image?",
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.",
author = "Jiamin Bai and Ng, \{Tian Tsong\} and Xinting Gao and Shi, \{Yun Qing\}",
year = "2010",
doi = "10.1109/ISCAS.2010.5537866",
language = "English (US)",
isbn = "9781424453085",
series = "ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems",
publisher = "IEEE Computer Society",
pages = "3425--3428",
booktitle = "ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems",
address = "United States",
note = "2010 IEEE International Symposium on Circuits and Systems, ISCAS 2010 ; Conference date: 30-05-2010 Through 02-06-2010",
}