A perceptual image hashing algorithm for hybrid document security
Open accessAbstract
In order to create an automatic document security system one needs to secure the textual content but also the graphical content of the document. This paper proposes a hashing algorithm capable of securing the graphical parts of paper and digital documents with unprecedented performance and a very small digest. The main challenge for such an algorithm is that of stability, in particular with respect to print and scan noise. We define the generic notion of stability and how to evaluate it. To achieve such performance we use both dense local information and global descriptors. We have tested our method on two datasets totaling nearly 45000 images.
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A Secure and Robust Image Hashing Scheme Using Gaussian Pyramids
Bashir, I., Ahmed, F., Ahmad, J., Boulila, W., & Alharbi, N. (2019) · Entropy · doi:10.3390/e21111132 · Cited by 20 · see citing works
“In Table 5, FPP and FNP of the proposed scheme is compared with some state-of-the-art schemes [10,17,23,24,28,29] in image hashing.”
Method
- Authors
- Eskenazi, S., Bodin, B., Gomez-Kramer, P., & Ogier, J.-M.
- Affiliations
- Laboratoire Informatique, Image et Interaction (L3i) (FR)
- ORCID
- Ogier, Jean-Marc
- Venue
- 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
- Publisher
- IEEE
- Published
- 2017-11
- Pages
- 741-746
- ISSN
- 1520-5363 (ISSN-L)
- OpenAlex
- W2785776977
- Cited by
- 10
- References
- 13
- Citations by year
- 2023: 1 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 3
- FWCI
- 0.40
- Type
- conference paper
- Language
- en
- Open access
- green
- hal.science
- Licence
- other-oa
- Locations
- IAPR International Conference on Document Analysis and Recognition (ICDAR) (publishedVersion)
- HAL (submittedVersion, other-oa)
- Funders
- Agence Nationale de la Recherche (ANR-14-CE28-0022)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
- Keywords
- perceptual image hashing, document security, global image descriptors, digital document authentication
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