try finetune for impact using your font.

On Thu, Apr 2, 2020 at 11:51 PM Suppressed <[email protected]> wrote:

> Im working on a project in which I need to read digit values from an
> image, then do tasks based on the values that get extracted.
> Because of this, mistakes arent really acceptable. I attached the picture
> as an example of what the images look like.
> The digits barely change, they dont change positioning or angle, only some
> have more or less pixels each time but it isnt much.
>
> 23999
> 29999
> 30999
> 40000
> 40000
> 40000
> 40000
> 1
> 43000
> 44000
>
> 44000
>
> 44500
>
> This is what tesseract extracts from the image. As you can see its mostly
> fine but instead for 4111 it extracts 1. Now, this can vary if I change the
> languages or change some thresholding values, but that might work for this
> case, but it wont work for the other ones.
> I guess only training would be a possibility to fix errors, but I couldnt
> really do it. The positions or angles of the data doesnt change, its just
> the font I Would need to train, but I dont know how to generate a lot of
> training information.
>
> code:
> img = cv2.imread(xy.png',cv2.IMREAD_GRAYSCALE)
> ret,thresh1 = cv2.threshold(img,150,255,cv2.THRESH_BINARY_INV)
> ROI1 = thresh1[130:1050,1280:1420]
> text = pytesseract.image_to_string(ROI1,config="digits")
>
> I imagegrab the screen and select ROI.
>
> Any suggestion? Maybe theres some training data that with some digits in
> it that I could change to my font?
>
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____________________________________________________________
भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com

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