import tesserocr
from PIL import Image
import pytesseract
import matplotlib as plt
import cv2
import imutils
import numpy as np

image = cv2.imread(r'c:\ahmed\ahmed.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

gray = cv2.bilateralFilter(gray,30,50,50)
gray = cv2.GaussianBlur(gray,(5,5), 0)
image = cv2.adaptiveThreshold(gray,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
            cv2.THRESH_BINARY,11,2)

#gray = cv2.Canny(gray, 70, 200)
#cv2.imshow("dilation", img_dilation)

cv2.imshow("gray", image)

#crop_img = gray[215:215+315, 783:783+684]
#cv2.imshow("cropped", crop_img)

resize = imutils.resize(image, width = 460)
cv2.imshow("resize", resize)

text = pytesseract.image_to_string(resize, lang='ara')
print(text)
with open(r"c:\ahmed\file.txt", "w", encoding="utf-8") as myfile:
	myfile.write(text)
cv2.waitKey(0)