How to Detect Number Plate in Vehicle Using Python || How can I find out a number plate on a car || Number plate recognition using python - Creation Code

Number Plate Recognition:

Automatic number-plate recognition is a technology that uses optical character recognition on images to read vehicle registration plates to create vehicle location data. It can use existing closed-circuit television, road-rule enforcement cameras, or cameras specifically designed for the task. It is used by police forces around the world for law enforcement purposes, including to check if a vehicle is registered or licensed. It is also used for electronic toll collection on pay-per-use roads and as a method of cataloging the movement of traffic, for example by highways agencies

In this post, we will make a simple number plate recognition system with python and OpenCV

Notes:

In this project, we will use a dataset for recognizing the number plate you can find them from here

Code:

import cv2

#############################################

frameWidth = 640

frameHeight = 480

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

minArea = 200

color = (255,0,255)

###############################################

cap = cv2.VideoCapture(0)

cap.set(3, frameWidth)

cap.set(4, frameHeight)

cap.set(10,150)

count = 0

while True:

    success, img = cap.read()

    imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    numberPlates = nPlateCascade.detectMultiScale(imgGray, 1.1, 10)

    for (x, y, w, h) in numberPlates:

        area = w*h

        if area >minArea:

            cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 255), 2)

            cv2.putText(img,"Number Plate",(x,y-5),

                        cv2.FONT_HERSHEY_COMPLEX_SMALL,1,color,2)

            imgRoi = img[y:y+h,x:x+w]

            cv2.imshow("ROI", imgRoi)

    cv2.imshow("Result", img)

    if cv2.waitKey(1) & 0xFF == ord('q'):

        break

Output:

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