Stx666Michael/DocumentDenoise
Part of work in an OCR research project
This project helps improve the accuracy of Optical Character Recognition (OCR) by cleaning up scanned documents or images that are difficult to read due to noise or poor quality. It takes your 'dirty' document images as input and produces cleaner, enhanced versions, making it easier for OCR software to extract text. This is useful for anyone working with scanned historical documents, poor-quality paper records, or faxes, like archivists, data entry specialists, or operations managers.
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Use this if you need to extract text from scanned documents or images that have background noise, smudges, or low contrast, and your current OCR results are unreliable.
Not ideal if your documents are already high-quality scans or digital-native text, as the processing may not provide significant additional benefit.
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Aug 01, 2022
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