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

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樓主: clannish
21#
發(fā)表于 2025-3-25 03:25:06 | 只看該作者
22#
發(fā)表于 2025-3-25 09:21:43 | 只看該作者
23#
發(fā)表于 2025-3-25 14:22:21 | 只看該作者
Font Shape-to-Impression Translatione analysis, i.e., multi-label classification and translation. A quantitative evaluation shows that our Transformer-based approaches estimate the font impressions from a set of local parts more accurately than other approaches. A qualitative evaluation then indicates the important local parts for a specific impression.
24#
發(fā)表于 2025-3-25 16:41:36 | 只看該作者
25#
發(fā)表于 2025-3-25 21:46:07 | 只看該作者
Recognition and?Information Extraction in?Historical Handwritten Tables: Toward Understanding Early rther improved our results. We also introduce through this communication two annotated datasets for handwriting recognition that are now publicly available, and an open-source toolkit to apply WFST on CTC lattices.
26#
發(fā)表于 2025-3-26 02:28:10 | 只看該作者
Historical Map Toponym Extraction for Efficient Information Retrievalor research and educational purposes. Then, we propose a novel approach for toponym classification based on KAZE descriptor. Next we compare and evaluate several state-of-the-art methods for text and object detection on our toponym detection task. We further show the results of toponym text recognition using popular Tesseract engine.
27#
發(fā)表于 2025-3-26 08:19:49 | 只看該作者
The Winner Takes It All: Choosing the?“best” Binarization Algorithm for?Photographed Documentsor portable devices have space and processing limitations that allow to implement only the “best” algorithm. This paper presents the methodology and assesses the time-quality performance of 61 binarization algorithms to choose the most time-quality efficient one, under two criteria.
28#
發(fā)表于 2025-3-26 10:38:38 | 只看該作者
Information Extraction from Handwritten Tables in Historical Documentsach that is based on heuristic rules to extract information in historical pre-printed forms with handwritten information. We analyze how each approach performs at each step of the extraction process. The proposed approaches improve the heuristic-rule baseline by up to 0.14 F-measure points throughout the information extraction pipeline.
29#
發(fā)表于 2025-3-26 16:40:12 | 只看該作者
Tsuyoshi Kato,Eddy Maerten,Antoine Baceiredoe analysis, i.e., multi-label classification and translation. A quantitative evaluation shows that our Transformer-based approaches estimate the font impressions from a set of local parts more accurately than other approaches. A qualitative evaluation then indicates the important local parts for a specific impression.
30#
發(fā)表于 2025-3-26 20:26:09 | 只看該作者
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