Oumayma Bounou ; Tom Monnier ; Ilaria Pastrolin ; Xi SHEN ; Christine Benevent et al. - A Web Application for Watermark Recognition

jdmdh:6220 - Journal of Data Mining & Digital Humanities, July 17, 2020, Atelier Digit\_Hum - https://doi.org/10.46298/jdmdh.6220
A Web Application for Watermark RecognitionArticle

Authors: Oumayma Bounou 1,2,3,4; Tom Monnier 5,3,4; Ilaria Pastrolin 6; Xi SHEN ; Christine Benevent 7,2; Marie-Françoise Limon-Bonnet 8,6; François Bougard ORCID9; Mathieu Aubry 3; Marc H. Smith 5,6; Olivier Poncet 10,6; Pierre-Guillaume Raverdy 11

The study of watermarks is a key step for archivists and historians as it enables them to reveal the origin of paper. Although highly practical, automatic watermark recognition comes with many difficulties and is still considered an unsolved challenge. Nonetheless, Shen et al. [2019] recently introduced a new approach for this specific task which showed promising results. Building upon this approach, this work proposes a new public web application dedicated to automatic watermark recognition entitled Filigranes pour tous. The application not only hosts a detailed catalog of more than 17k watermarks manually collected from the French National Archives (Minutier central) or extracted from existing online resources (Briquet database), but it also enables non-specialists to identify a watermark from a simple photograph in a few seconds. Moreover, additional watermarks can easily be added by the users making the enrichment of the existing catalog possible through crowdsourcing. Our Web application is available at https://filigranes.inria.fr/.

Volume: Atelier Digit\_Hum
Section: Data deluge: which skills for wich data?
Published on: July 17, 2020
Accepted on: July 15, 2020
Submitted on: March 26, 2020
Keywords: [SHS.MUSEO]Humanities and Social Sciences/Cultural heritage and museology
    Source : OpenAIRE Graph
  • Exploitation des bases d'images patrimoniales; Funder: French National Research Agency (ANR); Code: ANR-17-CE23-0008

1 Document citing this article

Consultation statistics

This page has been seen 2351 times.
This article's PDF has been downloaded 1364 times.