PRET19: Automatic Recognition and Indexing of Handwritten Loan Registers from 19th Century Parisian Universities - Centre de recherche en histoire européenne comparée
Chapitre D'ouvrage Année : 2024

PRET19: Automatic Recognition and Indexing of Handwritten Loan Registers from 19th Century Parisian Universities

Léa Périssier
Marie-Thérèse Petiot
Yoann Schneider
  • Fonction : Auteur
Christopher Kermorvant

Résumé

The PRET19 project aims to carry out a comprehensive analysis of the nineteenth-century loan registers of several Parisian university libraries. These historical documents provide invaluable insights into the circulation of books and the intellectual engagement of the academic community during a transformative period. By reconstructing the relationships and trends between borrowers, the project offers a unique perspective on the intellectual landscape of Parisian universities. In this first phase, the registers come from three different university libraries and exhibit a great diversity in layout, handwriting and content, which poses significant challenges for data processing. To address these challenges, we developed a document processing workflow that effectively combines automatic handwritten text recognition (HTR) with manual processing and validation. In addition, we provide a detailed description of the database, which is designed to comprehensively model the information extracted from the registries, ensuring that the data is structured in a way that adequately responds to anticipated research requests. Once completed, the processed data will be from winter 2024 accessible via a dedicated website, providing a comprehensive digital resource for historical research.

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Dates et versions

halshs-04717550 , version 1 (14-10-2024)

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Léa Périssier, Viera Rebolledo-Dhuin, Marie-Thérèse Petiot, Yoann Schneider, Christopher Kermorvant. PRET19: Automatic Recognition and Indexing of Handwritten Loan Registers from 19th Century Parisian Universities. Linking Theory and Practice of Digital Libraries, 15177, Springer Nature Switzerland, pp.360-378, 2024, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-72437-4_21⟩. ⟨halshs-04717550⟩

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