[![enter image description here][2]][2]enter code here
import cv2
import pytesseract
from PIL import Image
import numpy as np
# import bm3d
img = cv2.imread('1_2_2.png')
# img = cv2.medianBlur(img, 5)
img = cv2.GaussianBlur(img,(13,13),0)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# gray = cv2.medianBlur(, 5)
# cv2.imshow("img", gray)
# gray = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY |
cv2.THRESH_OTSU)
[1]
v = np.median(gray)
sigma = 0.33
#---- apply automatic Canny edge detection using the computed median--
--
lower = int(max(0, (1.0 - sigma) * v))
upper = int(min(255, (1.0 + sigma) * v))
gray = cv2.Canny(img,lower,upper)
# ret,gray = cv2.threshold(gray,110,255,cv2.THRESH_BINARY)
kernel = np.ones((4,4),np.uint8)
gray = cv2.morphologyEx(gray, cv2.MORPH_CLOSE, kernel)
gray = cv2.dilate(gray,kernel,iterations = 1)
# gray = cv2.morphologyEx(gray, cv2.MORPH_OPEN, kernel)
# gray = cv2.erode(gray,kernel,iterations = 1)
gray = cv2.bitwise_not(gray)
cv2.imshow("threshold", gray)
cv2.waitKey(0)
cv2.destroyAllWindows()
# gray = cv2.medianBlur(gray, 3)
text = pytesseract.image_to_string(gray)
print(text)