Python3实现腾讯云OCR识别


						废话不多说，在网上找了下腾讯云OCR识别的，示例不多，用Python的还是Python2.7，花了点时间改成Python3的。 

先上图，腾讯自己的示例图：





下面是代码：





import requests

import hmac

import hashlib

import base64

import time

import random

import re





appid = "你自己的appid"

bucket = " 这个是优图上面的，可以不填" #参考本文开头提供的链接

secret_id = "填自己的" #参考官方文档

secret_key = "填自己的" #同上

expired = time.time() + 2592000

onceExpired = 0

current = time.time()

rdm = ''.join(random.choice("0123456789") for i in range(10))

userid = "0"

fileid = "tencentyunSignTest"



info = "a=" + appid + "&b=" + bucket + "&k=" + secret_id + "&e=" + str(expired) + "&t=" + str(current) + "&r=" + str(

 rdm) + "&u=0&f="



signindex = hmac.new(bytes(secret_key,'utf-8'),bytes(info,'utf-8'), hashlib.sha1).digest() # HMAC-SHA1加密

sign = base64.b64encode(signindex + bytes(info,'utf-8')) # base64转码，也可以用下面那行转码

#sign=base64.b64encode(signindex+info.encode('utf-8'))



url = "http://recognition.image.myqcloud.com/ocr/general"

headers = {'Host': 'recognition.image.myqcloud.com',

   "Authorization": sign,

   }

files = {'appid': (None,appid),

 'bucket': (None,bucket),

 'image': ('1.jpg',open('D:/codes/images/form.jpg','rb'),'image/jpeg')

 }  



r = requests.post(url, files=files,headers=headers)



responseinfo = r.content

data = responseinfo.decode('utf-8')



r_index = r'itemstring":"(.*?)"' # 做一个正则匹配

result = re.findall(r_index, data)

for i in result:



 print(i)



以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持中文源码网。