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

img = cv2.imread('car6.jpeg')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
plt.imshow(cv2.cvtColor(gray, cv2.COLOR_BGR2RGB))

bfilter = cv2.bilateralFilter(gray, 11, 17, 17) #Noise reduction
edged = cv2.Canny(bfilter, 30, 200) #Edge detection
plt.imshow(cv2.cvtColor(edged, cv2.COLOR_BGR2RGB)

keypoints = cv2.findContours(edged.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
contours = imutils.grab_contours(keypoints)
contours = sorted(contours, key=cv2.contourArea, reverse=True)[:10]
           
location = None
for contour in contours:
    approx = cv2.approxPolyDP(contour, 10, True)
    if len(approx) == 4:
        location = approx
        break
location
           
mask = np.zeros(gray.shape, np.uint8)
new_image = cv2.drawContours(mask, [location], 0,255, -1)
new_image = cv2.bitwise_and(img, img, mask=mask)

plt.imshow(cv2.cvtColor(new_image, cv2.COLOR_BGR2RGB))
           
(x,y) = np.where(mask==255)
(x1, y1) = (np.min(x), np.min(y))
(x2, y2) = (np.max(x), np.max(y))
cropped_image = gray[x1:x2+1, y1:y2+1]

plt.imshow(cv2.cvtColor(cropped_image, cv2.COLOR_BGR2RGB))

reader = easyocr.Reader(['en'])
result = reader.readtext(cropped_image)
result

text = result[0][-2]
font = cv2.FONT_HERSHEY_SIMPLEX
res = cv2.putText(img, text=text, org=(approx[0][0][0], approx[1][0][1]+60), fontFace=font, fontScale=1, color=(0,255,0), thickness=2, lineType=cv2.LINE_AA)
res = cv2.rectangle(img, tuple(approx[0][0]), tuple(approx[2][0]), (0,255,0),3)
plt.imshow(cv2.cvtColor(res, cv2.COLOR_BGR2RGB))

text
  
           
#Getting informarion from RTO API
 import requests
import json
import xmltodict
vehicle_reg_no =text.strip() #NumberPlate deteted
username = "motu"#API_user name
url = "http://www.regcheck.org.uk/api/reg.asmx/CheckIndia?RegistrationNumber=" + vehicle_reg_no + "&username="+username
url=url.replace(" ","%20")
print(url)
r = requests.get(url)
n = xmltodict.parse(r.content)
k = json.dumps(n)
df = json.loads(k)
l=df["Vehicle"]["vehicleJson"]
p=json.loads(l)
s="Your car's details are:\n"+"Owner name: "+str(p['Owner'])+"\n"+"Car Company: "+str(p['CarMake']['CurrentTextValue'])+"\n"+"Car Model: "+str(p['CarModel']['CurrentTextValue'])+"\n"+"Fuel Type: "+str(p['FuelType']['CurrentTextValue'])+"\n"+"Registration Year: "+str(p['RegistrationYear'])+"\n"+"Insurance: "+str(p['Insurance'])+"\n"+"Vehicle ID: "+str(p['VechileIdentificationNumber'])+"\n"+"Engine No.: "+str(p['EngineNumber'])+"\n"+"Location RTO: "+str(p['Location'])
print(s)         
