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A guide to OCR with Tesseract, OpenCV and Python

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Re: A guide to OCR with Tesseract, OpenCV and Python

#11

The title is a bit misleading (and doesn't match the linked article). This isn't about building an OCR engine, it's about using an existing one.

Yes. We've changed the title to that of the article. From the site guidelines: "Please use the original title, unless it is misleading or linkbait; don't editorialize."

Submitted title was "Building an OCR Engine with Python and Tesseract", which broke that guideline, assuming the page title didn't change.

Re: A guide to OCR with Tesseract, OpenCV and Python

#12
The preprocessing step uses otsu, which is pretty inaccurate, because it uses only one single threshold value for the whole image. An adaptive thresholding algorithm (like Sauvola or Wolf binarization) could improve the whole preprocessing A LOT on many images, that are not only black and white. See https://github.com/chriswolfvision/local_adaptive_binarizati... for details.

Other nice resources: - https://www.researchgate.net/publication/306352164_Watershed... - https://isi.edu/integration/papers/chiang11-icdar.pdf

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