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
① 2000多本Python电子书（主流和经典的书籍应该都有了）
② Python标准库资料（最全中文版）
③ 项目源码（四五十个有趣且经典的练手项目及源码）
④ Python基础入门、爬虫、web开发、大数据分析方面的视频（适合小白学习）
2. 有干扰的数字加字母验证码
1. 百度AI大脑
下边我用python3来示例在
这里新建应用
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' title="自动验证码识别软件（免费验证码软件）", '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
腾讯ocr示例在这里新建应用
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)
