使用leptonica进行OCR的图像处理（反色文本） [英] Image processing for OCR with leptonica (inverse color text)

问题描述

我正在尝试使用leptonica处理以下图像以使用tesseract提取文本。

I am trying to process the following image with leptonica to extract text with tesseract.

原始图片：

原始图像上的Tesseract产生：

Tesseract on the original image yields this:

i s l
D2J1FiiE-l191x1iitmwii9 uhiaiislz-2 Q ~37
Bottom linez
With a little time!
you can learn social media technology
using free online resources-
And if you donity
youlll be at a significant disadvantage
to
other HOn-pFOiiTS-

不太好，特别是顶级背景。所以使用leptionica我使用背景去除算法（模糊，差异，阈值，反转）来获得以下图像：

Not great, especially the top background. So using leptionica I use a background removal algorithm (blur, difference, threshold, invert) to get the following image:

但是tesseract并没有做得很好：

But tesseract doesn't do a good job with it:

@@r-mair lkrm@W lh@w ilr@ mJs@ iklh@ ii@c2lhm1@ll
mm Mime
VWU1 a Mitt-Jle time-
@1m ll@@Wn Om @@@lh1
using free onhne resources-
Andifyoudoni
9110 ate a $0 D
to other non-profrts
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现在的主要问题是，现在所有文本都是概述而不是实体。如何调整我的算法或我可以添加什么来使文本稳定？

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?

推荐答案

本文似乎提出了二值化解决问题的方法：

It seems that this paper proposes a binarization method which solves your problem:

T Kasar，J Kumar和AG Ramakrishnan。 字体和背景颜色独立文本二值化。 （2007）

T Kasar, J Kumar and A G Ramakrishnan. Font and Background Color Independent Text Binarization. (2007)

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