How to detect digits from image by using Tesseract 5?

I installed tesseract5 on WSL (Ubuntu 22.04.1LTS) and tried to detect numbers from images as follows, but Tesseract returned wrong answers. How can I get right answers?

My environment:

• Windows 11 22H2
• WSL2 Ubuntu 22.04.1LTS
• tesseract 5.3.1-20-g58b7

I tried Tesseract like this

tesseract hoge.jpg output -l eng

and output.txt is

Fb¥
&/0

Here is hoge.jpg.

Thank you for helping in advance. I'm a Japanese student, so my English may be not so good. If you think it's not clear English, please change this post to make it more readable.

From bad picture you will never get good results. I played a bit and get this one:

import subprocess
import cv2
import pytesseract

# Image manipulation
# Commands https://imagemagick.org/script/convert.php
mag_img = r'D:\Programme\ImageMagic\magick.exe'
con_bw = r"D:\Programme\ImageMagic\convert.exe" 

in_file = r'ZZ_Numbers.jpg'
out_file = r'ZZ_Numbers_bw.png'

# Play with black and white and rotate for better results
process = subprocess.run([con_bw, in_file, "-resize", "70%","-threshold","60%", "-rotate", "-17", "-brightness-contrast","-15x30",out_file])

# Text ptocessing
pytesseract.pytesseract.tesseract_cmd=r'C:\Program Files\Tesseract-OCR\tesseract.exe'
img = cv2.imread(out_file)

# Parameters see tesseract doc 
custom_config = r'--psm 11 --oem 3 tessedit_char_whitelist=0123456789' 

tex = pytesseract.image_to_string(img, config=custom_config)
print(tex)

with open("cartootn.txt", 'w') as f:
    f.writelines(tex)

cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows()

Output:

I've given this image an attempt with basic image manipulation in python with pytesseract with mixed results. There seems to be two challenges in this image: the noisy background and the slant of the numbers. Using thresholding to set pixels to either black and white was able to almost get the bottom number as "6/0", but the slant of the "1" keeps getting recognized as a "/". The top gets read as "SEF", and I haven't figured out how to get a better result there.

from PIL import Image
import pytesseract as tess

img = Image.open('zgKoF.jpg')

img_arr = np.array(img)

img_arr[img_arr > 150] = 255
img_arr[img_arr < 100] = 0

tess.image_to_string(img_arr)