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
2. 有干扰的数字加字母验证码
1. 百度AI大脑
https://ai.baidu.com/tech/ocr/general
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
记录appid, apikey, secret key
复制代码 隐藏代码 import requests import base64 import shortuuid from 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=" + token headers = {'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
腾讯ocr示例在这里新建应用
https://ai.qq.com/console/application/create-app
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, time from urllib import parse import requests from 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 recognise img_path = "./code/code.png" response = Recognise(img_path) pprint(response) code = response['data']['item_list'][0]['itemstring'].replace(" ", "") print(code)秒鲨号所有文章资讯、展示的图片素材等内容均为注册用户上传(部分报媒/平媒内容转载自网络合作媒体)，仅供学习参考。用户通过本站上传、发布的任何内容的知识产权归属用户或原始著作权人所有。如有侵犯您的版权，请联系我们反馈！本站将在三个工作日内改正。
