ddddocr-验证码识别案例

1.ddddocr-模块安装

pip install ddddocr

2.python实际使用案例

import ddddocr

ocr=ddddocr.DdddOcr()
with open('test_img.png', 'rb') as f:
    img_bytes=f.read()

res=ocr.classification(img_bytes)
print(res)

普通干扰较弱的验证码均可识别通过

实用案例：

import os
import random
import requests
import ddddocr

def picture_verif():
    math = random.random()
    url = f'https://---脱敏处理-----VerifyCode?k=CuoMy8eR4mvVZNqbnNd8K9QOV8KYc465&r={math}'
    print(url)
    headers = {
        'User-Agent':'给你自己的ua'
    }
    path = os.getcwd() + '/picture.jpg'
    print(path)
    res = requests.get(url=url,headers=headers)
    # 图片保存到本地-对照识别结果验证使用
    with open(path,'wb') as f:
        f.write(res.content)

    ocr = ddddocr.DdddOcr()
    # 不用读取本地图片，直接识别源码
    res = ocr.classification(res.content)
    print(res)
    return res