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Texture to the rescue : practical paper fingerprinting based on texture patterns
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Toreini, Ehsan, Shahandashti, Siamak F. and Hao, Feng (2017) Texture to the rescue : practical paper fingerprinting based on texture patterns. ACM Transactions on Privacy and Security, 20 (3). pp. 1-29. doi:10.1145/3092816 ISSN 2471-2566.
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WRAP-texture-rescue-practical-paper-fingerprinting-based-texture-patterns-Hao-2017.pdf - Accepted Version - Requires a PDF viewer. Download (8Mb) | Preview |
Official URL: http://dx.doi.org/10.1145/3092816
Abstract
In this article, we propose a novel paper fingerprinting technique based on analyzing the translucent patterns revealed when a light source shines through the paper. These patterns represent the inherent texture of paper, formed by the random interleaving of wooden particles during the manufacturing process. We show that these patterns can be easily captured by a commodity camera and condensed into a compact 2,048-bit fingerprint code. Prominent works in this area (Nature 2005, IEEE S8P 2009, CCS 2011) have all focused on fingerprinting paper based on the paper “surface.” We are motivated by the observation that capturing the surface alone misses important distinctive features such as the noneven thickness, random distribution of impurities, and different materials in the paper with varying opacities. Through experiments, we demonstrate that the embedded paper texture provides a more reliable source for fingerprinting than features on the surface. Based on the collected datasets, we achieve 0% false rejection and 0% false acceptance rates. We further report that our extracted fingerprints contain 807 degrees of freedom (DoF), which is much higher than the 249 DoF with iris codes (that have the same size of 2,048 bits). The high amount of DoF for texture-based fingerprints makes our method extremely scalable for recognition among very large databases; it also allows secure usage of the extracted fingerprint in privacy-preserving authentication schemes based on error correction techniques.
Item Type: | Journal Article | ||||||
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Subjects: | T Technology > TS Manufactures | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | Paper -- Surface, Paper -- Texture | ||||||
Journal or Publication Title: | ACM Transactions on Privacy and Security | ||||||
Publisher: | ACM | ||||||
ISSN: | 2471-2566 | ||||||
Official Date: | August 2017 | ||||||
Dates: |
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Volume: | 20 | ||||||
Number: | 3 | ||||||
Page Range: | pp. 1-29 | ||||||
DOI: | 10.1145/3092816 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Reuse Statement (publisher, data, author rights): | © ACM 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Transactions on Privacy and Security, http://dx.doi.org/10.1145/3092816. | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 5 December 2018 | ||||||
Date of first compliant Open Access: | 5 December 2018 |
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