Texture to the Rescue : Practical Paper Fingerprinting based on Texture Patterns
- Submitting institution
-
University of York
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 54880575
- Type
- D - Journal article
- DOI
-
10.1145/3092816
- Title of journal
- ACM Transactions on Privacy and Security (TOPS)
- Article number
- 9
- First page
- -
- Volume
- 20
- Issue
- 3
- ISSN
- 2471-2566
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work proposes the first method to reliably distinguish individual sheets of paper from one another using an off-the-shelf camera. Previous work required expensive computation or specialist hardware. It is the basis for the granted patent: Hao, Toreini, Shahandashti: “Authentication of physical object using internal structure.” US Patent 10,680,825, issued 2020. It has attracted potential commercialisation interest from several companies and received considerable international media coverage (Economist, Wall Street Journal, ITV News, in other languages, see cs.york.ac.uk/~siamak/paper-fingerprinting.html for a list).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -