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Titlebook: Document Analysis and Recognition – ICDAR 2024 Workshops; Athens, Greece, Augu Harold Mouchère,Anna Zhu Conference proceedings 2024 The Edi

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https://doi.org/10.1007/978-3-211-99801-4lysis metrics (precision, recall, mAP), and a 12 point increase in precision and recall for damaged documents. Additionally, masks with character information enhance image quality, boosting text recognition performance.
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lationships among paragraphs using a deterministic algorithm. Our contribution extends to the publication of an open-source dataset, facilitating further exploration in this domain of study, which has received comparatively less attention.
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imbalanced distributions of different classes. Experimental results on both a public English document image dataset and a self-built Chinese document image dataset have demonstrated the effectiveness of the proposed method.
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Optimizing HTR and Reading Order Strategies for Chinese Imperial Editions with Few-Shot Learnings with an average accuracy of 98.45%, demonstrating the effectiveness of a small and targeted dataset over a large-scale approach. This research not only advances the digitization and analytical processing of Chinese historical documents but also sets a new benchmark for subsequent digital humanities efforts.
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Image-to-Image Translation Approach for Page Layout Analysis and Artificial Generation of Historicallysis metrics (precision, recall, mAP), and a 12 point increase in precision and recall for damaged documents. Additionally, masks with character information enhance image quality, boosting text recognition performance.
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A Multimodal Framework For Structuring Legal Documentslationships among paragraphs using a deterministic algorithm. Our contribution extends to the publication of an open-source dataset, facilitating further exploration in this domain of study, which has received comparatively less attention.
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HPSegNet: A Method for Handwritten and Printed Text Separation in Document Images imbalanced distributions of different classes. Experimental results on both a public English document image dataset and a self-built Chinese document image dataset have demonstrated the effectiveness of the proposed method.
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https://doi.org/10.1007/978-3-642-69714-2 prototypes, representative of letter morphology, and provide qualitative and quantitative tools for their comparison and analysis. We demonstrate our approach by applying it to the . script type and its two subtypes formalized by A. Derolez: Northern and Southern ..
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