How to find differences between 2 images of the same object from different angles(with OCR or SSIM or Faded text detection)?

Hello guys,

I am trying to find the defects on a ticket by looking at the reference image. The defect could be some existing letters being faded, or an additional random defect. They are usually caused by the printing process. Here are example of fading:

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[non-faded](https://preview.redd.it/pqlwcbqf9h6c1.png?width=63&format=png&auto=webp&s=8497d1a394492867b6a4a08f413183ef01b292b2)

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[faded](https://preview.redd.it/idtpp4ti9h6c1.png?width=62&format=png&auto=webp&s=2d2d99330f35be859f365aae187b7ae988309eb3)

And you can assume the tickets in this format:

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https://preview.redd.it/zgjmwdct9h6c1.png?width=1200&format=png&auto=webp&s=c6158b089bd8435b1a080ba1f8e2457526757a9f

I wrote an ImageAligner class that aligns the images following [this tutorial](https://pyimagesearch.com/2020/08/31/image-alignment-and-registration-with-opencv/)and it seems to be working well. But when …

computervision defects detection differences hello image images ocr printing random reference text