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I'm looking for the best solution to get information out of +- 90.000 images which have similar markup. An online example I found which is similiar to my cases:

http://www.fiteyes.com/sites/fiteyes.com/files/VisualField.Left.Humphrey.2006.01.02.web.png

I need the information as raw data to be able to process them further.

For the numeric "round-formed" parts of the image I need to know the location of the numbers to be able to compare them.

I was thinking about OCR software. Any advice in the software to use for my specific case. Open source / freeware would be preferred.

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  • Have you tried regular OCR to see if the numeric data and headers get recognized? I tried your sample image and it parsed the words and numbers fairly good on a free online upload/convert site. I'm thinking that if the numbers end up in the same positions in the resulting plain text file, you could simply parse them with some fancy shell scripting... – ivanivan Oct 10 '18 at 3:27
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Using OpenCV & Python you can train a deep learning model to spot the text in images then Tesseract to OCR it - there is a tutorial that takes you through this step by step at https://www.pyimagesearch.com/2018/09/17/opencv-ocr-and-text-recognition-with-tesseract/ which is very well structured and includes the source code.

  • All Free, Gratis & Open Source
  • All cross platform.
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