Mareike König

Explore this curriculum on Automatic Text Recognition (ATR) and learn how to efficiently extract full text from heritage material images. Perfectly tailored for researchers, librarians, and archivists, these resources not only enhance your archival research and preservation efforts but also unlock the potential for computational analysis of your sources.

This tutorial explores where and how to find, create, and collect images of textual material, a crucial initial step in any process using Automatic Text Recognition (ATR).

Kick off your journey into Automatic Text Recognition (ATR) with our introductory tutorial video. This is the first video of a tutorial series dedicated to extracting full text from scanned images.

Dive into the fine-tuning of Automatic Text Recognition outputs!

Get ready to improve the quality of your scanned images before moving to the processing phase of your ATR project.

Discover the subtleties of region and line segmentation and learn about the purpose of layout analysis for Automatic Text Recognition!

Increase the visibility of your ATR output while fostering Open Science.