Published April 2, 2022 | Version v1

Handwriting of the papal chancery and beyond: Dataset

Authors/Creators

  • 1. IRHT-CNRS
  • 1. Pattern Recognition Lab, FAU Erlangen
  • 2. Teklia
  • 3. IRHT-CNRS

Description

Handwriting of the papal chancery and beyond: Dataset

D. Stutzmann

The original data was originally produced in Oct.-Nov. 2019 for the paper "Les écritures de la chancellerie pontificale dans le paysage européen (XIIe–XVe siècles)" at the conference "Les actes pontificaux. Un trésor à exploiter" held at the German Historical Institute in Paris on Nov. 28th, 2019.

The text of the paper is published on HAL: https://hal.archives-ouvertes.fr/halshs-03628606. Parts of the present corpus (preliminary code and partial data) were released on Github on Jan. 4th, 2022 (https://github.com/oriflamms/RegVat_ArchNatJJ_MOM_LBA_2019).

The study has been extended and deepened for a more comprehensive publication as an article in the proceedings.

The analyzed corpora encompass images from

  • Registra Vaticana (Vaticano, Archivio Apostolico, Reg. Vat.)
  • Registers of French royal chancery (Paris, Archives Nationales, JJ series)
  • images from Monasterium.net and Lichtbildarchiv

The present dataset does not contain the images.

The present dataset contains

  1. folder /_initial_corpus/: metadata on the "original corpus" that I intended to use
  2. folder /data/: (a) the original output data as produced by the Computer Vision library processing the images; (b) the data with its metadata.
  3. folder /rds/: RDS files produced as part of the analysis with the R software (cf. https://www.r-project.org/)
  4. folder /images/: figures and illustrations of the article
  5. folder /plotly/: corresponding interactive visualisations of the figures

At the root, along witht this README file, the R code to produce the statistics, RDS files and images.

For this library, see Nicolaou, Anguelos, A. D. Bagdanov, Marcus Liwicki, et D. Karatzas. « Sparse radial sampling lbp for writer identification ». In 2015 13th International Conference on Document Analysis and Recognition (ICDAR), 716-20, 2015., cf. https://doi.org/10.48550/arXiv.1504.06133

Files

Handwriting-papal-chancery-dataset.zip

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Additional details

Related works

Is supplement to
Conference paper: https://hal.archives-ouvertes.fr/halshs-03628606 (URL)

Funding

Agence Nationale de la Recherche
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