[new resource]: Automatic Text Recognition (ATR) - Video 3: Image Optimisation

[Mareike2405]

Title of the resource

Automatic Text Recognition (ATR) - Video 3: Image Optimisation

Resource type

External Resource

Authors, editors and contributors

Hippolyte Souvay, Larissa Will, Anne Baillot, Mareike König

Topics (keywords)

Handwritten Text Recognition, Heritage Material, Full text extraction_

Learning outcomes

1. Execute effective pre-processing techniques such as cropping and dewarping.
   

2. Enhance image quality to improve the accuracy of text recognition.
   

3. Troubleshoot common issues encountered during the image pre-processing stage.
   

4. Optimize images for ATR using recommended software tools and settings.
   

Abstract

In our third tutorial video on Automatic Text Recognition (ATR) we delve into the critical process of image optimisation for ATR. This video covers the scanning process, essential considerations for high-quality scans, and key pre-processing steps like cropping and dewarping. We also discuss common challenges encountered during the pre-processing stage of ATR, preparing you to handle them effectively.
The video has English, French and German subtitles and is accompanied by a blogpost.

[VickyGarnett]

Hi @Mareike2405 - The authors for this resource are all in the system, and we are happy for you to proceed to drafting this up now in the CMS.

You can find how to do that here: https://campus.dariah.eu/docs/using-the-content-management-system

Thanks!

Vicky