*I also tried Rotation but its still not working.*
*These are the preprocessing steps that i used:*
import cv2
import pytesseract
import numpy as np
from scipy import ndimage
img = cv2.imread('voucher.png')
img = cv2.bitwise_not(img)
img = cv2.resize(img, None, fx=1.2, fy=1.2, interpolation=cv2.INTER_CUBIC)
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
kernel = np.ones((1, 1), np.uint8)
img = cv2.dilate(img, kernel, iterations=1)
img = cv2.erode(img, kernel, iterations=1)
img = ndimage.rotate(img, -20)
cv2.imwrite("changed.png",img)
pytesseract.pytesseract.tesseract_cmd = r'C:\Program
Files\Tesseract-OCR\tesseract.exe'
print(pytesseract.image_to_string(img))
abey...@gmail.com schrieb am Montag, 31. Oktober 2022 um 10:46:59 UTC+1:
> Did you try all the preprocessing steps? Rotation / Deskewing ? I think
> Tesseract finds it difficult to identify skewed images.
>
> On Mon, Oct 31, 2022 at 1:17 PM nabil-ak <akir...@gmail.com> wrote:
>
>> Hello,
>>
>> I want to detect a code (combination of characters) on an image in python.
>>
>> I already tried EasyOCR <https://github.com/JaidedAI/EasyOCR> and Tesseract
>> Open Source OCR Engine <https://github.com/tesseract-ocr/tesseract> but
>> noone could detect the characters.
>>
>> I also tried to preprocess the picture by inverting the white font to a
>> black font and painting the background white to make it for the engine
>> easier to detect the characters.
>>
>> *What am i doing wrong?*
>>
>>
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