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Hello community,

I have been working on extracting text from images, specifically focusing on seven-segment fonts,
using .NET. Unfortunately, my attempts with popular libraries like Tesseract and IronOcr have been
unsuccessful, as they seem to excel with normal English fonts.


Here's a brief overview of my approach so far:
1. Tesseract: Limited to normal English fonts, unable to recognize seven-segment characters.
2. IronOcr: Similar limitations, not suitable for seven-segment fonts.

Despite these efforts, I'm facing challenges in accurately extracting text from images with
seven-segment fonts.

Link to : Image Dataset Folder

What I have tried:

Additionally, I've experimented with image processing techniques, including:
• Cropping and zooming to the text region.
• Applying gray, black and white, and binarization filters.
Posted
Updated 15-Dec-23 5:52am
v2
Comments
[no name] 17-Dec-23 14:31pm    
Machine learning / pattern recognition. You feed it the font with the "answers" (a training set; a "subset" of the sample set). Then run tests with the whole sample set.
https://mdfarragher.medium.com/optical-character-recognition-with-c-ml-net-and-net-core-3cf71864b815

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