Detect a car in a live stream or video and recognize characters on number plate of the car

Firstly install these libraries…

pip install easyocr
pip install imutils

Code for detecting number plate and extracting characters of it.

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

img = cv2.imread('car.jpg') 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

Thank You

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