from PIL import Imageimport pytesseractfrom 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 Imageimport pytesseractfrom 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