import cv2.
import imutils.
import numpy as np.
import pytesseract.
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'
img = cv2.imread('A:\Yazilim\Plaka_Tanima\image_path/5.jpg',cv2.IMREAD_COLOR)
img = cv2.resize(img, (600,400))
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
gray = cv2.bilateralFilter(gray, 13, 15, 15)
edged = cv2.Canny(gray, 30, 200)
contours = cv2.findContours(edged.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
contours = imutils.grab_contours(contours)
contours = sorted(contours, key = cv2.contourArea, reverse = True)[:10]
screenCnt = None.
for c in contours:
peri = cv2.arcLength(c, True)
approx = cv2.approxPolyDP(c, 0.018 * peri, True)
if len(approx) == 4:
screenCnt = approx.
break.
if screenCnt is not None:
cv2.drawContours(img, [screenCnt], -1, (0, 0, 255), 3)
mask = np.zeros(gray.shape,np.uint8)
new_image = cv2.drawContours(mask,[screenCnt],0,255,-1,)
new_image = cv2.bitwise_and(img,img,mask=mask)
(x, y) = np.where(mask == 255)
(topx, topy) = (np.min(x), np.min(y))
(bottomx, bottomy) = (np.max(x), np.max(y))
Cropped = gray[topx:bottomx+1, topy:bottomy+1]
text = pytesseract.image_to_string(Cropped, config='--psm 11')
print("Plaka Tanima Programlamasi\n")
print("Plaka Numarasi:",text)
else:
print ("Plaka bulunamadi")
img = cv2.imshow('Plaka Tespiti',img)
cv2.waitKey(0)
cv2.destroyAllWindows()