Tesseract doesn't fetch data clearly - python-3.x

Question

In this Python script, First I increase the image Resolution for better accuracy of OCR.
Second, I apply many filters to that image to increase contrast and text clarity.
Third, I fetch text from filtered image using Tesseract But the issue is Tesseract doesn't fetch data clearly.
And also tried to add page segmentation modes and OCR Engine modes on the pytesseract but did not receive the expected output.
This is my Code...
import os,argparse
import pytesseract
from pytesseract import Output
import csv
import numpy as np
from PIL import Image
image = cv2.imread('dota.jpg')
height = 9000
width = 16000
dimensions = (width, height)
image = cv2.resize(image,dimensions, interpolation=cv2.INTER_LINEAR)
def get_grayscale(image):
return cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
def adaptiveThreshold(image):
return cv2.adaptiveThreshold(image,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,11,2)
gray = get_grayscale(image)
sharpenKernel = np.array(([[2, -1, 2], [-1, 9, -1], [2, -1, 2]]), np.float32)/9
sharpen = cv2.filter2D(src=gray, kernel=sharpenKernel, ddepth=-1)
adthresh = adaptiveThreshold(sharpen)
cong = '--psm 6'
final = pytesseract.image_to_data(adthresh,output_type=Output.DICT,config=cong,lang='eng')
print(final['text'])
Also, this code is available on Github.
: https://github.com/Bhavin-Prydan/Dota-Esportz/blob/main/dota.py