Try on 
Text detection with text recognition
Vietnam military vehicle license plate
install via PyPi
pip install ton-ocr
import cv2
import numpy as np
from ton_ocr import TonOCRPipeline
image_path = "stuffs/example.jpg"
image = cv2.imread(image_path)
ocr = TonOCRPipeline()
results = ocr.predict(image)
for result in results:
bbox = result.box # text bounding box
text = result.text # text string
score = result.score # OCR's confidence
img = result.img # cropped text image
# Draw the bounding polygon
points = np.array(bbox, np.int32)
points = points.reshape((-1, 1, 2))
color = (0, 255, 255)
is_closed = True
thickness = 2
cv2.polylines(image, [points], is_closed, color, thickness)
# Add OCR text to the image
font = cv2.FONT_HERSHEY_SIMPLEX
font_scale = 1
text_color = (0, 0, 255)
text_thickness = 2
first_point = tuple(points[0][0])
cv2.putText(image, text, first_point, font, font_scale, text_color, text_thickness)
cv2.imshow('Image Window', image)
cv2.waitKey(0)
cv2.destroyAllWindows()