I am trying to process the following image with leptonica to extract text with tesseract.
Original Image:
Tesseract on the original image yields this:
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D2J1FiiE-l191x1iitmwii9 uhiaiislz-2 Q ~37
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Not great, especially the top background. So using leptionica I use a background removal algorithm (blur, difference, threshold, invert) to get the following image:
But tesseract doesn't do a good job with it:
@@r-mair lkrm@W lh@w ilr@ mJs@ iklh@ ii@c2lhm1@ll
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VWU1 a Mitt-Jle time-
@1m ll@@Wn Om @@@lh1
using free onhne resources-
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The main problem, it seems, is that now all of the text is outlined instead of solid. How can I adjust my algorithm or what can I add to made the text solid?
Inevitably, noise in an input image, non-standard fonts that Tesseract wasn't trained on, or less than ideal image quality will cause Tesseract to make a mistake and incorrectly OCR a piece of text.
While Tesseract is known as one of the most accurate free OCR engines available today, it has numerous limitations that dramatically affect its performance; its ability to correctly recognize characters in a scan or image.
It seems that this paper proposes a binarization method which solves your problem:
T Kasar, J Kumar and A G Ramakrishnan. Font and Background Color Independent Text Binarization. (2007)
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