ocr_licenseplate.py

import cv2
import imutils
import numpy as np
import pytesseract
from PIL import Image
pytesseract.pytesseract.tesseract_cmd = 'C:\Program Files (x86)\Tesseract-OCR\tesseract.exe'
path = r'C:\Program Files (x86)\Tesseract-OCR\7.jpg'
  
# Using cv2.imread() method 
img = cv2.imread(path) 
#print(img)




img = imutils.resize(img, width=500 )
#print(img)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) #convert to grey scale
gray = cv2.bilateralFilter(gray, 11, 17, 17) #Blur to reduce noise
edged = cv2.Canny(gray, 30, 200) #Perform Edge detection
cnts,new = cv2.findContours(edged.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
img1=img.copy()
cv2.drawContours(img1,cnts,-1,(0,255,0),3)
cv2.imshow("img1",img1)#
cnts = sorted(cnts, key = cv2.contourArea, reverse = True)[:30]
screenCnt = None #will store the number plate contour
img2 = img.copy()
cv2.drawContours(img2,cnts,-1,(0,255,0),3) 
cv2.imshow("img2",img2) #top 30 contours

count=0
idx=7
# loop over contours
for c in cnts:
  # approximate the contour
        peri = cv2.arcLength(c, True)
        approx = cv2.approxPolyDP(c, 0.018 * peri, True)
        if len(approx) == 4: #chooses contours with 4 corners
                screenCnt = approx
                x,y,w,h = cv2.boundingRect(c) #finds co-ordinates of the plate
                new_img=img[y:y+h,x:x+w]
                cv2.imwrite('./'+str(idx)+'.png',new_img) #stores the new image
                idx+=1
                break
            #draws the selected contour on original image        
cv2.drawContours(img, [screenCnt], -1, (0, 255, 0), 3)
cv2.imshow("Final image with plate detected",img)

Cropped_loc='./7.png' #the filename of cropped image
cv2.imshow("cropped",cv2.imread(Cropped_loc))
pytesseract.pytesseract.tesseract_cmd=r"C:\Program Files (x86)\Tesseract-OCR\tesseract.exe" #exe file for using ocr 

text=pytesseract.image_to_string(Cropped_loc,lang='eng') #converts image characters to string
path = r'C:\Program Files (x86)\Tesseract-OCR\7.jpg'
  

k=cv2.waitKey(0)
if k==27:
        cv2.destroyAllWindows()

Hi,
This code is useful for extracting the licence plate number from the image with OCR technique, you can customize the code as per your requirements.
make sure that you have all the required libraries in the mentioned path.
here is the image I used for testing.