Hi Atef,
I think your best option is to generate a lot of images as bad as this one
and use them for training.
So you take the good images (with the corresponding text), thousands, and
ruin/blur them in many different ways. In this way, for example, from good
1000 images you get 5000/1 bad ima
Hi,
i want to extract information from unclear images. I tried many filters but
it doesn’t help. This is some example :
This is the input pictures: Example.png
So why i want to extract this informations ? :
I am working on a project to extract information from driver’s licenses.
The extraction i
Thanks to both of you for replying. I'm using Charles Weld's NuGet package
(https://github.com/charlesw/tesseract/) so at the moment I think I am
stuck on version 4.1.1. I have to admit Tesseract is a bit of a black box
to me, and short of setting a few variables I am not I am at a bit of a
los
You provided no example, so just hint: have a look at the leptonica
function pixAutoPhotoinvert[1], that should help in such cases. Function is
available IMO from version 1.79.0
[1]
https://github.com/DanBloomberg/leptonica/blob/5aaf1c187deeef7f47288c6b0833a07021940da7/src/pageseg.c#L2370-L2391
Z
Hi,
On 01/07/2021 18:39, 'Chris' via tesseract-ocr wrote:
> I am experimenting with Tesseract 4.1.1 using C# to extract text from black
> and white or greyscale TIF images of semi structured forms that are 300
> dpi.
>
> The results are really promising except when some of the text is inverted
I am experimenting with Tesseract 4.1.1 using C# to extract text from black
and white or greyscale TIF images of semi structured forms that are 300
dpi.
The results are really promising except when some of the text is inverted
(ie white on black). In these cases the results are poor. Can anyon
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