Python借助于AI来实现验证码识别,内含python3示例

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借助于AI工具来实现验证码识别,内含python3示例

验证码识别的场景十分常见
本文主要讨论作为普通开发者(缺乏/没有Ai学术(教育/实践)背景)的前提下,来低成本快速实现验证码识别

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本次测试的验证码主要有两种
1. 无干扰的纯数字验证码

Python借助于AI来实现验证码识别,内含python3示例


2. 有干扰的数字加字母验证码

Python借助于AI来实现验证码识别,内含python3示例




1. 百度AI大脑

https://ai.baidu.com/tech/ocr/general

Python借助于AI来实现验证码识别,内含python3示例 Python借助于AI来实现验证码识别,内含python3示例


下边我用python3来示例在

https://console.bce.baidu.com/ai/?fromai=1#/ai/ocr/app/list

这里新建应用

Python借助于AI来实现验证码识别,内含python3示例


记录appid, apikey, secret key


 复制代码 隐藏代码import requests import base64import shortuuidfrom pprint import pprint#填上自己的app 信息appid = ""key = ""secret = ""def Token():    host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id={}&client_secret={}'.format(key, secret)    response = requests.get(host)    # if response:        # pprint(response.json())    return response.json()['access_token']token =  Token()request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic"f = open('./code/code.png', 'rb')img = base64.b64encode(f.read())params = {"image":img,"language_type":"CHN_ENG"}# access_token = '[调用鉴权接口获取的token]'request_url = request_url + "?access_token=" + tokenheaders = {'content-type': 'application/x-www-form-urlencoded'}response = requests.post(request_url, data=params, headers=headers)pprint (response.json())





2 腾讯AI

https://ai.qq.com/product/ocr.shtml#common

Python借助于AI来实现验证码识别,内含python3示例 Python借助于AI来实现验证码识别,内含python3示例


腾讯ocr示例在这里新建应用

https://ai.qq.com/console/application/create-app

Python借助于AI来实现验证码识别,内含python3示例 Python借助于AI来实现验证码识别,内含python3示例


记录以上app信息 APP_ID,APP_Key

 复制代码 隐藏代码import base64, hashlib, json, random, string, timefrom urllib import parseimport requestsfrom pprint import pprint# 填写app信息app_id = ""app_key = ""def GetAccessToken(formdata, app_key):    dic = sorted(formdata.items(), key=lambda d: d[0])    sign = parse.urlencode(dic) + '&app_key=' + app_key    m = hashlib.md5()    m.update(sign.encode('utf8'))    return m.hexdigest().upper()def RecogniseGeneral(app_id, time_stamp, nonce_str, image, app_key):    host = 'https://api.ai.qq.com/fcgi-bin/ocr/ocr_generalocr'    formdata = {'app_id': app_id, 'time_stamp': time_stamp, 'nonce_str': nonce_str, 'image': image}    app_key = app_key    sign = GetAccessToken(formdata=formdata, app_key=app_key)    formdata['sign'] = sign    try:        r = requests.post(url=host, data=formdata, timeout=20)    except requests.exceptions.ReadTimeout:        r = requests.post(url=host, data=formdata, timeout=20)    if (r.status_code == 200):        return r.json()    else:        print(r.text)def Recognise(img_path):    with open(file=img_path, mode='rb') as file:        base64_data = base64.b64encode(file.read())    nonce = ''.join(random.sample(string.digits + string.ascii_letters, 32))    stamp = int(time.time())    recognise = RecogniseGeneral(app_id=app_id, time_stamp=stamp, nonce_str=nonce, image=base64_data,                                 app_key=app_key)     # for k, v in recognise.items():    #     print(k, v)    return recogniseimg_path = "./code/code.png"response = Recognise(img_path)pprint(response)code = response['data']['item_list'][0]['itemstring'].replace(" ", "")print(code)
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