Visualizing optical characters

Optical character visualization is a common method of digitizing printed texts so that such texts can be electronically edited, searched, stored compactly, and displayed online. Currently, they are widely used in cognitive computing, machine translation, text-to-speech conversion, text mining, and so on.

How to do it...

1. Import the following packages:

import os 
import sys 
import cv2 
import numpy as np 

2. Load the input data:

in_file = 'words.data'  

3. Define the visualization parameters:

scale_factor = 10 
s_index = 6 
e_index = -1 
h, w = 16, 8 

4. Loop until you encounter the Esc key:

with open(in_file, 'r') as f: 
  for line in f.readlines(): 
    information = np.array([255*float(x) for x in line.split('t')[s_index:e_index]]) 
    image = np.reshape(information, (h,w)) 
    image_scaled = cv2.resize(image, None, fx=scale_factor, fy=scale_factor) 
    cv2.imshow('Image', image_scaled) 
    a = cv2.waitKey() 
    if a == 10: 
      break 

5. Type python visualize_character...