作者：wangwei8638
一．平台接入
此步骤比较简单，不多阐述。可参照上篇文档：
https://ai.baidu.com/forum/topic/show/943028
二.分析接口文档
1.打开https://ai.baidu.com/docs#/OCR-API/6a5f6b1b
(1)接口描述
支持对机动车驾驶证正页所有关键字段进行识别。 (2)请求说明 需要用到的信息有： 请求URL：https://aip.baidubce.com/rest/2.0/ocr/v1/driving_license Header格式：Content-Type：application/x-www-form-urlencoded 请求参数：image, 图像数据，base64编码，要求base64编码后大小不超过4M，最短边至少15px，最长边最大4096px,支持jpg/png/bmp格式 。注意：图片需要base64编码、去掉编码头后再进行urlencode。detect_direction：是否检测图像朝向，默认不检测，即：false。置为true，则可对非正向图片进行检测并纠正。 （3）返回示例
HTTP/1.1 200 OK x-bce-request-id: 73c4e74c-3101-4a00-bf44-fe246959c05e Cache-Control: no-cache Server: BWS Date: Tue, 18 Oct 2016 02:21:01 GMT Content-Type: application/json;charset=UTF-8 { "errno": 0, "msg": "success", "data": { "words_result_num": 10, "words_result": { "证号": { "words": "3208231999053090" }, "有效期限": { "words": "6年" }, "准驾车型": { "words": "B2" }, "有效起始日期": { "words": "20101125" }, "住址": { "words": "江苏省南通市海门镇秀山新城" }, "姓名": { "words": "小欧欧" }, "国籍": { "words": "中国" }, "出生日期": { "words": "19990530" }, "性别": { "words": "男" }, "初次领证日期": { "words": "20100125" } } } }2.获取access_token
#client_id 为官网获取的AK， client_secret 为官网获取的SK client_id =【百度云应用的AK】 client_secret =【百度云应用的SK】
#获取token def get_token(): host = ‘https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=’ + client_id + ‘&client_secret=’ + client_secret request = urllib.request.Request(host) request.add_header(‘Content-Type’, ‘application/json; charset=UTF-8’) response = urllib.request.urlopen(request) token_content = response.read() if token_content: token_info = json.loads(token_content.decode(“utf-8”)) token_key = token_info[‘access_token’] return token_key 3.准备一张用于识别的图片，存储在本地 三.识别结果 四.源码共享
# -*- coding: utf-8 -*- #!/usr/bin/env python import urllib import urllib.parse import urllib.request import base64 import json #client_id 为官网获取的AK， client_secret 为官网获取的SK client_id = '****************' client_secret = '********************' #获取token def get_token(): host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=' + client_id + '&client_secret=' + client_secret request = urllib.request.Request(host) request.add_header('Content-Type', 'application/json; charset=UTF-8') response = urllib.request.urlopen(request) token_content = response.read() if token_content: token_info = json.loads(token_content.decode("utf-8")) token_key = token_info['access_token'] return token_key # 读取图片 def get_file_content(filePath): with open(filePath, 'rb') as fp: return fp.read() #获取车牌号信息 def get_license_plate(path): request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/driving_license" f = get_file_content(path) access_token=get_token() img = base64.b64encode(f) params = {"custom_lib": False, "image": img} params = urllib.parse.urlencode(params).encode('utf-8') request_url = request_url + "?access_token=" + access_token request = urllib.request.Request(url=request_url, data=params) request.add_header('Content-Type', 'application/x-www-form-urlencoded') response = urllib.request.urlopen(request) content = response.read() if content: driving_licenses = json.loads(content.decode("utf-8")) strover = '识别结果：\n' words_result = driving_licenses['words_result'] # 姓名 name = words_result['姓名']['words'] strover += ' 姓名： {} \n '.format(name) # 国籍 nationality = words_result['国籍']['words'] strover += ' 国籍： {} \n '.format(nationality) # 出生日期 date_of_birth = words_result['出生日期']['words'] strover += ' 出生日期： {} \n '.format(date_of_birth) # 性别 sex = words_result['性别']['words'] strover += ' 性别： {} \n '.format(sex) # 证号 Citizenship_number = words_result['证号']['words'] strover += ' 证号： {} \n '.format(Citizenship_number) # 准驾车型 Full_name = words_result['准驾车型']['words'] strover += ' 准驾车型：{} \n '.format(Full_name) # 初次领证日期 first_certificate_date = words_result['初次领证日期']['words'] strover += ' 初次领证日期： {} \n '.format(first_certificate_date) # 有效期限 Nation = words_result['有效期限']['words'] # 到期日期 to = words_result['至']['words'] strover += ' 有效期限：{}至{}\n '.format(Nation, to) # 住址 address = words_result['住址']['words'] strover += ' 住址：{} \n '.format(address) # print (content) print (strover) return content else: return '' image_path='F:\paddle\jszh.jpg' get_license_plate(image_path)