Automatic Metadata retrieval from Ancient Manuscripts

Abstract : The paper presents a document analysis system to retrieve metadata from digitized ancient manuscripts. This platform has been developed to assist re-searchers, historians and libraries to process a wide variety of manuscripts written in different languages. In order to retrieve different metadata from vari-ous digitized documents, we propose a user-training system, which use robust approaches based on a sequential bottom-up process. We develop a low-level segmentation and a basic recognition stage which do not use prior knowledge on documents contents. Our objective was to study the feasibility to process a large variety of manuscripts with the same platform, which can be used by non-specialists in image analysis.
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Conference papers
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Submitted on : Monday, September 25, 2017 - 2:26:46 PM
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Frank Le Bourgeois, Hala Kaileh. Automatic Metadata retrieval from Ancient Manuscripts. 9th international Workshop on Documents Analysis Systems, DAS2004, Sep 2004, Florence, Italy. pp.75-89, ⟨10.1007/978-3-540-28640-0_8⟩. ⟨hal-01592815⟩



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