number plate.py

from tkinter import *
import cv2
import csv
import imutils
import numpy as np
import pandas as pd
import pytesseract
from PIL import Image
pytesseract.pytesseract.tesseract_cmd = 'C:\Program Files\Tesseract-OCR\tesseract.exe'
img = cv2.imread('3.jpg', cv2.IMREAD_COLOR)
img = imutils.resize(img, width=500)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)  # convert to grey scale
gray = cv2.bilateralFilter(gray, 11, 17, 17)  # Blur to reduce noise
edged = cv2.Canny(gray, 30, 200)  # Perform Edge detection
cnts, new = cv2.findContours(
    edged.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
img1 = img.copy()
cv2.drawContours(img1, cnts, -1, (0, 255, 0), 3)
cv2.imshow("img1", img1)
cnts = sorted(cnts, key=cv2.contourArea, reverse=True)[:30]
screenCnt = None  # will store the number plate contour
img2 = img.copy()
cv2.drawContours(img2, cnts, -1, (0, 255, 0), 3)
cv2.imshow("img2", img2)  # top 30 contours

count = 0
idx = 7
# loop over contours
for c in cnts:
  # approximate the contour
    peri = cv2.arcLength(c, True)
    approx = cv2.approxPolyDP(c, 0.018 * peri, True)
    if len(approx) == 4:  # chooses contours with 4 corners
        screenCnt = approx
        x, y, w, h = cv2.boundingRect(c)  # finds co-ordinates of the plate
        new_img = img[y:y+h, x:x+w]
        cv2.imwrite('./'+str(idx)+'.png', new_img)  # stores the new image
        idx += 1
        break
    # draws the selected contour on original image
cv2.drawContours(img, [screenCnt], -1, (0, 255, 0), 3)
cv2.imshow("Final image with plate detected", img)

Cropped_loc = './7.png'  # the filename of cropped image
cv2.imshow("cropped", cv2.imread(Cropped_loc))
# exe file for using ocr
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files (x86)\Tesseract-OCR\tesseract.exe"

# converts image characters to string
text = pytesseract.image_to_string(Cropped_loc, lang='eng')
print("Number is:", text)


raw_data = {'v_number': [text]}
df = pd.DataFrame(raw_data, columns=['v_number'])
df.to_csv('data.csv')


print("*******************************************")
print("Details of Vehicle")
print("")
df1 = pd.read_csv('input.csv')
df1 = df1.set_index('v_number')
dfnew = df1.loc[text]
print(dfnew)
dfnew.to_csv('dataout.csv')
print("*******************************************")


master = Tk()

label1 = Label(master, text='Number Plate detection system')
label1.grid(row=0, column=0)


def retrieve_input():
    Department = textBox.get("1.0", "end-1c")

    fileread = pd.read_csv('50.csv', encoding='latin-1')
    filevalue = fileread.loc[fileread['Customer'].str.contains(
        Department, na=False)]

    def printSomething():
        label = Label(master, textvariable=filevalue)
        label.grid(row=3, column=1)


label2 = Label(master, text="Owner Details")
label2.grid(row=1, column=0)

label3 = Label(master, text=dfnew)
label3.grid(row=2, column=0)
mainloop()

cv2.waitKey(0)
cv2.destroyAllWindows()