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In this paper, we investigate how to improve the digitization process at the French national Library. We propose in the first part a study on the relationship between the bibliographic data of the document and the selection decisions of the documents to help in this task. In the second part, we present an existing approach to estimate precision and recall without ground truth that could be used to estimate the OCR recognition rates. Finally, we present a short state of the art of segmentation methods that can help us to validate the quality of the segmentation. MOTS-CLÉS : Analyse Factorielle des Correspondances, Analyse des Correspondances Multiples, Estimation de la précision et du rappel, Extraction des zones de texte.

Aide à la gestion des processus de numérisation en vue de l'OCRisation des ouvrages