Car plate number text recognition problem

Question

we all know that any OCR nowadays is already established. But I can't get it right. I'm trying to recognized the text from car's number plate images. I've done image processing. Here is my code.

import cv2
import pytesseract
import os
import csv

pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'

def ocr_with_threshold(image):
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    threshold = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)
    text = pytesseract.image_to_string(threshold)
    return text.strip()

# Folder path containing the image files
folder_path = "nombor_plat_s_resize"

# Create a CSV file to store the results
csv_file = open('results.csv', 'w', newline='')
csv_writer = csv.writer(csv_file)
csv_writer.writerow(['Image', 'Min Threshold', 'Max Threshold', 'Extracted Text'])

# Iterate over all image files in the folder
for filename in os.listdir(folder_path):
    if filename.endswith(".png") or filename.endswith(".jpg"):
        image_path = os.path.join(folder_path, filename)

        min_threshold_successful = 1.0
        max_threshold_successful = 1.0
        successful_text = None

        image = cv2.imread(image_path)
        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

        mser = cv2.MSER_create()
        regions, _ = mser.detectRegions(gray)

        for region in regions:
            x, y, w, h = cv2.boundingRect(region)
            roi = image[y:y+h, x:x+w]
            result = ocr_with_threshold(roi)

            if result:
                if min_threshold_successful == 1.0 and max_threshold_successful == 1.0:
                    min_threshold_successful = max_threshold_successful = result
                    successful_text = result
                else:
                    if result < min_threshold_successful:
                        min_threshold_successful = result
                    if result > max_threshold_successful:
                        max_threshold_successful = result
                    if successful_text != result:
                        successful_text = None

        # Write the results to the CSV file
        csv_writer.writerow([filename, min_threshold_successful, max_threshold_successful, successful_text])

# Close the CSV file
csv_file.close()

This is some of the result: enter image description here

anyone can help me to understand the images?

I tried to do the text recognition using the pytesseract with the help of thresholding and MSER technique. I expect at least it get 60% correct but 100% not correct. This is the actual plate number or text that can be seen by eyes. actual plate number This is the images used for the test. https://drive.google.com/drive/folders/1qHKQDhXy0W--AyV2YAFErSLV67xsNT9m?usp=drive_link