Titlebook: Document Analysis and Recognition - ICDAR 2024; 18th International C Elisa H. Barney Smith,Marcus Liwicki,Liangrui Peng Conference proceedi

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袋鼠

Fully Automatic Virtual Unwrapping Method for?Documents Imaged by?X-Ray Tomography CT-OCR-2022 dataset, utilizing a novel criterion for geometric distortion evaluation. Enriched with marker coordinates, the dataset facilitates future algorithm assessments. Accompanying source codes for the proposed algorithms and evaluation criterion are publicly available.

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DELINE8K: A Synthetic Data Pipeline for?the?Semantic Segmentation of?Historical Documentsument .lement .ayer .tegration .nsemble 8K, or DELINE8K dataset (DELINE8K is available at .). Our customized dataset exhibits superior performance on the NAFSS benchmark, demonstrating it as a promising tool in further research.

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beled all text-line images for the HHD-Ethiopic dataset, and an expert supervisor double-checked them. We assessed human-level recognition performance and compared it with state-of-the-art (SOTA) OCR models using the Character Error Rate (CER) and Normalized Edit Distance (NED) metrics. Our results

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