Demo Data from EDBT 2026 / reviewers in the wild / expert
Christian Guichard
dblp:154/1522
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Digital forensics and information hiding · 100% | |
| Computer graphics and multimedia
1 paper |
Image and video coding · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Digital forensics and information hiding › content authentication
document authentication |
0.2 | 1 | 2016 | Two-Level QR Code for Private Message Sharing and Document Authentication · IEEE Trans. Inf. Forensics Secur. 2016 |
Digital forensics and information hiding
steganography |
0.2 | 1 | 2016 | Two-Level QR Code for Private Message Sharing and Document Authentication · IEEE Trans. Inf. Forensics Secur. 2016 |
Methods — techniques the papers use, named apart from their topics
pattern recognition · 0.5correlation matching · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Centrality bias measure for high density QR code module recognition
Iuliia Tkachenko, William Puech, Olivier Strauss, Jean-Marc Gaudin, Christophe Destruel, Christian Guichard |
Signal Process. Image Commun. | 6 |
| 2016 | Two-Level QR Code for Private Message Sharing and Document AuthenticationabstractThe quick response (QR) code was designed for storage information and high-speed reading applications. In this paper, we present a new rich QR code that has two storage levels and can be used for document authentication. This new rich QR code, named two-level QR code, has public and private storage levels. The public level is the same as the standard QR code storage level; therefore, it is readable by any classical QR code application. The private level is constructed by replacing the black modules by specific textured patterns. It consists of information encoded using q-ary code with an error correction capacity. This allows us not only to increase the storage capacity of the QR code, but also to distinguish the original document from a copy. This authentication is due to the sensitivity of the used patterns to the print-and-scan (P&S) process. The pattern recognition method that we use to read the second-level information can be used both in a private message sharing and in an authentication scenario. It is based on maximizing the correlation values between P&S degraded patterns and reference patterns. The storage capacity can be significantly improved by increasing the code alphabet q or by increasing the textured pattern size. The experimental results show a perfect restoration of private information. It also highlights the possibility of using this new rich QR code for document authentication. Iuliia Tkachenko, William Puech, Christophe Destruel, Olivier Strauss, Jean-Marc Gaudin, Christian Guichard |
IEEE Trans. Inf. Forensics Secur. | 6 |