Maybe use a different segmentation mode? Try changing the line:

text = pytesseract.image_to_string(cropped_image, lang='eng').strip()

to:

text = pytesseract.image_to_string(cropped_image, lang='eng', config='--psm 
6').strip()

That should help.

art

From: tesseract-ocr@googlegroups.com <tesseract-ocr@googlegroups.com> On Behalf 
Of Paulus Present
Sent: Sunday, October 29, 2023 4:21 PM
To: tesseract-ocr <tesseract-ocr@googlegroups.com>
Subject: [tesseract-ocr] Poor results of Tesseract performing a play card 
evaluation

You don't often get email from 
present.pau...@gmail.com<mailto:present.pau...@gmail.com>. Learn why this is 
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Dear forum members
I used Tesseract to get 10 Regions Of Interest from a Lorcana play card, but it 
didn' succeed very well. It did not succeed in figuring out the numbers nor the 
name of the character. I presume this is because of the image preprocessing as 
the fonts are not really anything special. Could you help me figuring out how I 
could bring Tesseract to better perform on the PNG? I add 1 sample card and the 
py code used to deploy Tesseract as well as the resulting Excel table and the 
extraced Region Of Interest TIFFs.
I will be happy with any help anyone can provide. Thanks in advance!
Paulus
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