关于python 使用腾讯云OCR 通用印刷体识别

时间：2023-12-04 18:03:08

腾讯的python SDK没有通用印刷体识别，所以参考了别人识别网上图片的方式：https://www.cnblogs.com/semishigure/p/7690789.html

但是咱们使用的基本都是识别本地图片，所以要采用image方式；

#!/usr/bin/env python

# -*- coding: utf-8 -*-

#import docx

import requests

import hmac

import hashlib

import base64

import time

import random

import re

appid = "xxxxx"

bucket = "xxxxxx" #参考本文开头提供的链接

secret_id = "xxxxxxe"  #参考官方文档

secret_key = "xxxxxxx"  #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(secret_key, info, hashlib.sha1).digest()  # HMAC-SHA1加密

sign = base64.b64encode(signindex + info)  # base64转码

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('C:\\ThsSoftware\\python2_x86_ths\\1.jpg','rb'),'image/jpeg')

	}	   

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

responseinfo = r.content

#创建内存中的word文档对象

#file=docx.Document()

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

result = re.findall(r_index, responseinfo)

for i in result:

	#file.add_paragraph(i)

	print i

#file.save("D:\\writeResult.docx")

　　识别率挺高的！

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