技術標籤：pythonpython影象識別

# -*- coding: utf8 -*-
from re import findall
import os
import requests
import tesserocr
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
session = requests.session()

Headers = {
    'User-Agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36 Edg/87.0.664.66'
 

    }

def get_captcha(captcha_url):
    captcha = session.get(captcha_url,headers=Headers).content#獲取驗證碼
    
    with open('captcha.jpg','wb') as f:#儲存驗證碼
        f.write(captcha)
        
    image = Image.open('captcha.jpg')
    image = image.convert ('L')#灰度處理
    threshold = 127 #閾值,二值化處理
    table =
 
 []
    for i in range(256):
        if i < threshold:
            table.append(0)
        else:
            table.append(1)
    image = image.point(table,'1')    
    
    im = np.array(image)
    plt.imshow(im)
    #ans = tesserocr.image_to_text(image)
    #os.remove('captcha.jpg')
    #return(findall('(.*)\\n',ans)[0])
 


captcha_url = 'https://ids.ynu.edu.cn/authserver/captcha.html'
get_captcha(captcha_url)

captcha_code = str(input('輸入驗證碼:'))

輸入驗證碼:nyxb