Texto Não e reconhecido

Olá, estou pegando as imagens de veiculos e depois passo ela para o processo de ocr para pegar o texto da placa, mesmo o texto estando em otima qualidade e ele estar detectando a placa e tudo mais o texto não esta sendo extraido,  gostaria de uma ajuda para tentar entender o que tem de errado com o codigo.

Esta e a Imagem

import cv2
import numpy as np
import imutils
import pytesseract
from matplotlib import pyplot as plt

def show_img(img, title="Image"):
    fig = plt.gcf()
    fig.set_size_inches(128, 64) 
    plt.axis("off")
    plt.title(title)
    plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
    plt.show()

def preprocessing(img):
  increase = cv2.resize(img, None, fx=1.2, fy=1.2, interpolation=cv2.INTER_CUBIC)
  value, otsu = cv2.threshold(increase, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)
  return otsu

def ocr_plate(plate):
  config_tesseract = "--tessdata-dir tessdata --psm 6"
  text = pytesseract.image_to_string(plate, lang="por", config=config_tesseract)
  print(text)
  text = "".join(c for c in text if c.isalnum())
  return text

def recognize_plate(file_img):
  img, plate, beginX, beginY, endX, endY = detect_plate(file_img)
  
  if plate is False:
    print("It was not possible to detect!")
    return 0

  text = ocr_plate(plate)
  print(text)
  img = cv2.putText(img, text, (beginX, beginY - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (150,255,0), 2, lineType=cv2.LINE_AA)
  img = cv2.rectangle(img, (beginX, beginY), (endX, endY), (150, 255, 0), 2)
  #show_img(img)

  return img, plate

def detect_plate(file_img):
  img = cv2.imread(file_img)
  (H, W) = img.shape[:2]
  gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
  blur = cv2.bilateralFilter(gray, 11, 17, 17)
  edged = cv2.Canny(blur, 30, 200)
  #show_img(edged)
  conts = cv2.findContours(edged.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) 
  conts = imutils.grab_contours(conts) 
  conts = sorted(conts, key=cv2.contourArea, reverse=True)[:8]

  location = None
  for c in conts:
    peri = cv2.arcLength(c, True)
    aprox = cv2.approxPolyDP(c, 0.02 * peri, True)
    if cv2.isContourConvex(aprox):
      if len(aprox) == 4:
          location = aprox
          break

  beginX = beginY = endX = endY = None
  if location is None:
    plate = False
  else:
    mask = np.zeros(gray.shape, np.uint8)

    img_plate = cv2.drawContours(mask, [location], 0, 255, -1)
    img_plate = cv2.bitwise_and(img, img, mask=mask)

    (y, x) = np.where(mask==255)
    (beginX, beginY) = (np.min(x), np.min(y))
    (endX, endY) = (np.max(x), np.max(y))

    plate = gray[beginY:endY, beginX:endX]
    #show_img(plate)

  return img, plate, beginX, beginY, endX, endY


#improving the quality
img, plate = recognize_plate("./veiculos/entrada/car_27_05_2024_20_15_41.jpg")

processed_plate = preprocessing(plate)
#show_img(processed_plate)
text = ocr_plate(processed_plate)
print(f'placa detectada:\n')
print(text)