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Update CarPlateDetection.py #3

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Update CarPlateDetection.py #3

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23 changes: 18 additions & 5 deletions CarPlateDetection.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
import numpy as np
import cv2
import imutils
import pytesseract

# Read the image file
image = cv2.imread('Car_Image_1.jpg')
Expand All @@ -24,7 +25,7 @@
cv2.imshow("4 - Canny Edges", edged)

# Find contours based on Edges
(new, cnts, _) = cv2.findContours(edged.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
( cnts, _) = cv2.findContours(edges.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
cnts=sorted(cnts, key = cv2.contourArea, reverse = True)[:30] #sort contours based on their area keeping minimum required area as '30' (anything smaller than this will not be considered)
NumberPlateCnt = None #we currently have no Number plate contour

Expand All @@ -39,7 +40,19 @@


# Drawing the selected contour on the original image
cv2.drawContours(image, [NumberPlateCnt], -1, (0,255,0), 3)
cv2.imshow("Final Image With Number Plate Detected", image)

cv2.waitKey(0) #Wait for user input before closing the images displayed
mask = np.zeros(gray_img.shape,np.uint8)
new_image = cv2.drawContours(mask,[NumberPlateCnt],0,255,-1)
new_image = cv2.bitwise_and(img,img,mask=mask)
cv2.namedWindow("Final_image",cv2.WINDOW_NORMAL)
cv2.imshow("Final_image",new_image)

# Configuration for tesseract
config = ('-l eng --oem 1 --psm 3')
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract'
# Run tesseract OCR on image
text = pytesseract.image_to_string(new_image, config=config)

# Print number on plate
print(text)

cv2.waitKey(0) #Wait for user input before closing the images displayed