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Implementation of a couple of heuristics that estimate OCR quality without reliance on ground truth data, focusing on historical documents written in English.

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Name		Name	Last commit message	Last commit date
Latest commit History 46 Commits
demo		demo
dinglehop		dinglehop
lang_confidence		lang_confidence
.gitmodules		.gitmodules
README.md		README.md
ocr.sh		ocr.sh
ocrpy.py		ocrpy.py
packages.txt		packages.txt
pdb.sh		pdb.sh
pdf.py		pdf.py
requirements.txt		requirements.txt
rmgarbage.py		rmgarbage.py
test_ocr_demo.py		test_ocr_demo.py

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interactive-ocr

cleaning this up is on my postgrad todo list

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Implementation of a couple of heuristics that estimate OCR quality without reliance on ground truth data, focusing on historical documents written in English.

nlp tesseract-ocr optical-character-recognition ground-truth word-error-rate ocr-quality

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