Tesseract-OCR not recognizing digits

Question

I using Tesseract OCR to recognizing my below picture (it is an image meter electric) but it not working. I have not permitted to use Machine learning or deep learning. Does anyone have some other technique that I can use to solve my problem? please let give to me a guide. Thank you for reading.

This my root image:

This image that I have processed must to recognizing digits

This my code:

import cv2
import pytesseract as pts
pts.pytesseract.tesseract_cmd = r'C:\Users\Thep Ho\AppData\Local\Programs\Tesseract-OCR\tesseract.exe'

img = cv2.imread("images/text1.jpg")
text = pts.image_to_string(img)
print(text)

Did you already check this and this ?

Yunus Temurlenk
– Yunus Temurlenk

2020-11-30 05:49:26 +00:00
Commented Nov 30, 2020 at 5:49 — Yunus Temurlenk
– Yunus Temurlenk, Commented Nov 30, 2020 at 5:49

Ahmet · Accepted Answer · 2020-12-03 18:54:38Z

If you apply adaptive-thresholding to the input image:

Now, if you apply regular-expression to remove all non-numeric variables from the extracted text:
- ```
99951
```

Code:

import re
import cv2
import pytesseract

img = cv2.imread("Eadxj.png")
gry = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
flt = cv2.adaptiveThreshold(gry,
                            252, cv2.ADAPTIVE_THRESH_MEAN_C,
                            cv2.THRESH_BINARY_INV, 31, 7)
txt = pytesseract.image_to_string(flt)
txt_int = re.sub("[^0-9]", "", txt)
print(txt_int)

But if you are allowed to use deep-learning, result will be:

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