from PIL import Image
import pytesseract
from pytesseract import *rep={'O':'0',                           #替换列表'I':'1','L':'1','Z':'2','S':'8'};def initTable(threshold=140):           # 二值化函数table = []for i in range(256):if i < threshold:table.append(0)else:table.append(1)return table
#--------------------------------------------------------------------------------------
im = Image.open('C:/Users/asus-pc/Desktop/Captcha.jpg')     #1.打开图片
im = im.convert('L')                                        #2.将彩色图像转化为灰度图
binaryImage = im.point(initTable(), '1')                    #3.降噪，图片二值化
# binaryImage.show()text = image_to_string(binaryImage, config='-psm 7')#4.对于识别结果，常进行一些替换操作
for r in rep:text = text.replace(r,rep[r])#5.打印识别结果
print(text)复制代码

别人写的

from PIL import Image
import pytesseract
from pytesseract import *rep={'O':'0',                           #替换列表'I':'1','L':'1','Z':'2','S':'8'};def initTable(threshold=140):           # 二值化函数table = []for i in range(256):if i < threshold:table.append(0)else:table.append(1)return table
#--------------------------------------------------------------------------------------
im = Image.open('C:/Users/asus-pc/Desktop/Captcha.jpg')     #1.打开图片
im = im.convert('L')                                        #2.将彩色图像转化为灰度图
binaryImage = im.point(initTable(), '1')                    #3.降噪，图片二值化
# binaryImage.show()text = image_to_string(binaryImage, config='-psm 7')#4.对于识别结果，常进行一些替换操作
for r in rep:text = text.replace(r,rep[r])#5.打印识别结果
print(text)复制代码