python picture binarization improve the recognition rate

　　

import cv2
from PIL import Image
from pytesseract import pytesseract
from PIL import ImageEnhance
import re
import string

DEF CreateFile (filePath, newFilePath): 

    IMG = Image.open (filePath) 

    # mode L "of a gray image, which each pixel is represented by 8 bit, 0 represents black and 255 represents white, other numbers represent different gray . 
    the Img = img.convert ( ' L ' ) 
    Img.save (newFilePath) 

    # custom gray limit, greater than the value of black, white value is less than the 
    threshold = 200 is 

    Table = []
     for I in Range (256 ):
         IF I < threshold: 
            table.append (0) 
        the else : 
            table.append ( . 1 ) 

    # image binarization 
    photo = Img.point (table,'1')
    photo.save(newFilePath)

if __name__ == '__main__':

createFile(r'1.bmp',r'newTest.png')

 

Original:

After the processing in FIG:

 

Recognition results: