Extraction.py

import cv2 
import pytesseract 
pytesseract.pytesseract.tesseract_cmd = 'System_path_to_tesseract.exe'
img = cv2.imread("sample.jpg") 
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) 
ret, thresh1 = cv2.threshold(gray, 0, 255, cv2.THRESH_OTSU | cv2.THRESH_BINARY_INV) 
rect_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (18, 18)) 
dilation = cv2.dilate(thresh1, rect_kernel, iterations = 1) 
contours, hierarchy = cv2.findContours(dilation, cv2.RETR_EXTERNAL, 
												cv2.CHAIN_APPROX_NONE) 
im2 = img.copy() 

file = open("recognized.txt", "w+") 
file.write("") 
file.close() 

for cnt in contours: 
	x, y, w, h = cv2.boundingRect(cnt) 
	rect = cv2.rectangle(im2, (x, y), (x + w, y + h), (0, 255, 0), 2) 
	cropped = im2[y:y + h, x:x + w] 
	file = open("recognized.txt", "a") 
	text = pytesseract.image_to_string(cropped) 
	file.write(text) 
	file.write("\n") 
	file.close