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

HAIRY

https://doi.org/10.1007/978-981-97-5756-5ach 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.

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Unified Line and Paragraph Detection by Graph Convolutional Networksspond to words, a text line is a cluster of boxes and a paragraph is a cluster of lines. These clusters form a two-level tree that represents a major part of the layout of a document. We use a graph convolutional network to predict the relations between text detection boxes and then build both level

Cognizance

The Winner Takes It All: Choosing the “best” Binarization Algorithm for Photographed Documentshe time elapsed in binarization varies widely between algorithms and also depends on the document features. On the other hand, document applications for portable devices have space and processing limitations that allow to implement only the “best” algorithm. This paper presents the methodology and a

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