Hi Hamzeh,
next time please explain exactly where the problem is so that people here
do not have to manually check all the numbers to spot the mistakes.
Try to threshold the image and upscale it more, I would start with four
times.
Bye
Lorenzo
Il giorno ven 26 mar 2021 alle ore 14:46 Hamzeh abu-ajameia <
hamzehaboaja...@gmail.com> ha scritto:
> Hi Everyone,
>
> I am a newbie to OCR, I've been trying to reach a 99% accuracy but i
> didn't manage to, would you please give some tips to improve the results,
> below is a amole of used codes, it keeps skip some numbers and sometime
> predict wrong numbers.
>
> Code :
> import cv2
> import pytesseract
>
> # Load the image img = cv2.imread("FD2sX.png")
>
> # Up-sample
> img = cv2.resize(img, (0, 0), fx=2, fy=2)
>
> # Convert to the gray-scale
> gry = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # OCR
>
> print(pytesseract.image_to_string(gry))
>
> [image: black.png]
>
> The results
>
> 24,026 56.5% 5,798 13.6% 4,236 10.0% 3,546 8.3% 4,905 11.5% 42,511 100.0%
> 20,968 66.0% 9,279 29.2% 1,328 4.2% 145 0.5% 47 0.1% 31,767 100.0% 5,854
> 77.8% 1,617 21.5% 45 0.6% 0.1% 7,523 100.0% 50,848 62.2% 16,694 20.4% 5,564
> 3,736 4.6% 4,959 6.1% 81,801 100.0% 24,826 78.1% 5,866 18.5% 11 0.0% 1.6%
> 562 1.8% 31,773 100.0% 26,499 81.1% 5,940 18.2% 55 0.2% 167 0.5% 32,661
> 100.0% 6,008 87.2% 839 12.2% 0.6% 0.0% 6,886 100.0% 57,333 80.4% 12,645
> 17.7% 0.1% 713 1.0% 0.8% 71,320 100.0%
>
> Thanks in advance.
>
>
>
>
>
>
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