import cv2 import pytesseract import numpy as np import pyttsx3

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

cascade=cv2.CascadeClassifier("haarcascade_russian_plate_number.xml")

states={"AN":"Andaman and Nicobar","AP":"Andhra Pradesh","AR":"Arunachal Pradesh","AS":"Assam","BR":"Bihar", "CG":"Chattisgarh","CH":"Chandigarh","DD":"Dadra and Nagar Haveli and Daman and Diu","DL":"Delhi", "GA":"Goa","GJ":"Gujarat","HP":"Himachal Pradesh","HR":"Haryana","JH":"Jharkhand", "JK":"Jammu and Kashmir","KA":"Karnataka","KL":"Kerala","KS":"Kyasamballi","LA":"Ladakh", "LD":"Lakshadweep","MH":"Maharashtra","ML":"Meghalaya","MN":"Manipur","MP":"Madhya Pradesh", "MZ":"Mizoram","NL":"Nagaland","OD":"Odisha","PB":"Punjab","PY":"Puducherry","RJ":"Rajasthan", "SK":"Sikkim","TN":"Tamil Nadu","TR":"Tripura","TS":"Telangana","UK":"Uttarakhand", "UP":"Uttar Pradesh","WB":"West Bengal"} audio = pyttsx3.init()

def extract_num(img_name): global read read = pytesseract.image_to_string(plate) read = ' '.join(e for e in read if e.isalnum) stat = read[0:2] stat = read[:3] numstate = [] numstate.append(read[0]) numstate.append(read[2]) str1 = "" for ele in numstate: str1 += ele print(str1) print(read) try: print('Car belongs to', states[stat]) print('Car belongs to', states[str1]) audio.say('The State is ') audio.say(states[str1]) audio.runAndWait() except: print('State not recognized!') print(read) audio.say('State not recognized!', str1) audio.runAndWait()

cv2.rectangle(img, (x, y), (x + w, y + h), (51, 51, 255), 2) cv2.rectangle(img, (x, y - 40), (x + w, y), (51, 51, 255), -1) cv2.putText(img, read, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 3.0, (125, 246, 55), 3) cv2.waitKey(0) cv2.destroyAllWindows()

extract_num ("C:/Users/HP/PycharmProjects/Numberplate/test1.jpeg") extract_num ("C:/Users/user/PycharmProjects/Numberplate/test3.jpeg")