Titlebook: Document Analysis Systems; 15th IAPR Internatio Seiichi Uchida,Elisa Barney,Véronique Eglin Conference proceedings 2022 Springer Nature Swi

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Recognition and Information Extraction in Historical Handwritten Tables: Toward Understanding Early ed of about 100,000 handwritten simple pages in a tabular format. We created a complete pipeline that goes from the scan of double pages to text prediction while minimizing the need for segmentation labels. We describe how weighted finite state transducers, writer specialization and self-training fu

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Importance of Textlines in Historical Document Classificationleading to its design, and the main findings. The solved tasks include script and font classification, document origin localization, and dating. We combined patch-level and line-level approaches, where the line-level system utilizes an existing, publicly available page layout analysis engine. In bot

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Historical Map Toponym Extraction for Efficient Information Retrieval villages and landscape features such as rivers, forests etc. The detected and recognized toponyms are utilized as keywords in an information retrieval system that allows intelligent and efficient searching in historical map collections. We create a novel annotated dataset that is freely available f

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Information Extraction from Handwritten Tables in Historical Documentsn information extraction from handwritten structured historical documents. In this paper, we compare two Machine Learning approaches and another approach that is based on heuristic rules to extract information in historical pre-printed forms with handwritten information. We analyze how each approach

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