1 |
From Historical Newspapers to Machine-Readable Data: The Origami OCR PipelineLiebl, Bernhard, Burghardt, Manuel 20 June 2024 (has links)
While historical newspapers recently have gained a lot of attention in the digital humanities, transforming them into machine-readable data by means of OCR poses some major challenges. In order
to address these challenges, we have developed an end-to-end OCR pipeline named Origami. This
pipeline is part of a current project on the digitization and quantitative analysis of the German
newspaper “Berliner Börsen-Zeitung” (BBZ), from 1872 to 1931. The Origami pipeline reuses existing open source OCR components and on top offers a new configurable architecture for layout
detection, a simple table recognition, a two-stage X-Y cut for reading order detection, and a new
robust implementation for document dewarping. In this paper we describe the different stages of the
workflow and discuss how they meet the above-mentioned challenges posed by historical newspapers.
|
Page generated in 0.0663 seconds