main.py

import cv2
import imutils
import pytesseract

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

image = cv2.imread('test.jpg')
image = imutils.resize(image, width = 300)
cv2.imshow("original image", image)
cv2.waitKey(0)

gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.imshow("greyed image", gray_image)
cv2.waitKey(0)

gray_image = cv2.bilateralFilter(gray_image, 11,17,17)
cv2.imshow("smoothened image", gray_image)
cv2.waitKey(0)

edged = cv2.Canny(gray_image,30,200)
cv2.imshow("edged image", edged)
cv2.waitKey(0)

cnts,new = cv2.findContours(edged.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
image1=image.copy()
cv2.drawContours(image1,cnts,-1,(0,255,0),3)
cv2.imshow("contours",image1)
cv2.waitKey(0)

cnts = sorted(cnts, key = cv2.contourArea, reverse = True) [:30]
screenCnt = None
image2 = image.copy()
cv2.drawContours(image2,cnts,-1,(0,255,0),3)
cv2.imshow("Top 30 contours",image2)
cv2.waitKey(0)

i=7
for c in cnts:
        perimeter = cv2.arcLength(c, True)
        approx = cv2.approxPolyDP(c, 0.018 * perimeter, True)
        if len(approx) == 4: 
                screenCnt = approx
        x, y, w, h = cv2.boundingRect(c)
        new_img = image[y:y+h, x:x+w]
        cv2.imwrite('./'+str(i)+'.png', new_img)
        i += 1
        break

cv2.drawContours(image, [screenCnt], -1, (0, 255, 0), 3)
cv2.imshow("image with detected license plate", image)
cv2.waitKey(0)

Cropped_loc = './7.png'
cv2.imshow("cropped", cv2.imread(Cropped_loc))
plate = pytesseract.image_to_string(Cropped_loc, lang='eng')
print("Number plate is:", plate)
cv2.waitKey(0)
cv2.destroyAllWindows()