需求分析

身份證識(shí)別主要是把一張身份證照片上面的文字信息進(jìn)行提取，不用再使用人工去手動(dòng)抄寫了，下面給大家說(shuō)的這個(gè)身份識(shí)別主要是使用python+flask+華為云OCR進(jìn)行實(shí)現(xiàn)的。

步驟

申請(qǐng)華為云OCR接口
獲取token
調(diào)用身份證識(shí)別接口
提取身份證信息

申請(qǐng)華為云OCR接口

圖像識(shí)別主要使用的就是華為云OCR平臺(tái)申請(qǐng)的接口，申請(qǐng)地址為：“https://www.huaweicloud.com”。訪問(wèn)申請(qǐng)的地址后點(diǎn)擊菜單欄中的“控制臺(tái)”，點(diǎn)擊后會(huì)進(jìn)入登錄頁(yè)面。

登錄成功后進(jìn)入控制臺(tái)，依次單擊“服務(wù)列表”-“人工智能”-“文字識(shí)別OCR”

進(jìn)入后點(diǎn)擊身份證識(shí)別后面的“開通服務(wù)”即可，（這里需要主要的是免費(fèi)開通的身份證識(shí)別服務(wù)僅有1000次的免費(fèi)調(diào)用次數(shù)，超過(guò)次數(shù)將會(huì)收費(fèi)，建議購(gòu)買套餐包，購(gòu)買可以找我，我可以給優(yōu)惠哦）

獲取token

獲取token值時(shí)你需要知道你的以下信息：

IAM用戶所屬賬號(hào)名
IAM用戶名
IAM用戶的登錄密碼
IAM用戶所屬賬號(hào)的項(xiàng)目名稱

首先就是獲取IAM用戶所屬賬號(hào)名，IAM用戶所屬賬號(hào)名為你登陸的那個(gè)賬號(hào)

獲取IAM用戶名，選擇右上角“用戶名”-點(diǎn)擊“統(tǒng)一身份認(rèn)證”

里面的用戶即為IAM用戶名

獲取IAM用戶所屬賬號(hào)的項(xiàng)目名稱，點(diǎn)擊“項(xiàng)目”

里面的項(xiàng)目很多，你只需要記錄你開啟OCR身份證識(shí)別區(qū)域的項(xiàng)目名稱ID就可以了，比如我選擇的北京四所以我的項(xiàng)目名稱就是：“cn-north-4”

知道了這些信息之后，后面就是如何通過(guò)這些信息去獲取token了，下面我就直接上代碼了哦

import requests
# 下面url為華為云獲取token的接口，這個(gè)接口基本一致，需要注意的是“iam.cn-north-4.myhuaweicloud.com”這個(gè)需要根據(jù)具體需求進(jìn)行修改，不同區(qū)域項(xiàng)目不同
url = "https://iam.cn-north-4.myhuaweicloud.com/v3/auth/tokens"
# 頭部信息
headers = {'Content-Type': 'application/json'}
# json內(nèi)容，需要上傳進(jìn)行做驗(yàn)證
payload = {
            "auth": {
                "identity": {
                    "methods": [
                        "password"
                    ],
                    "password": {
                        "user": {
                        # name值為你的IAM賬號(hào)名
                            "name": "XXX",
                            # password值為你的IAM密碼
                            "password": "XXX",
                            "domain": {
                            # name值為你的主賬號(hào)的賬號(hào)名
                                "name": "XXX"
                            }
                        }
                    }
                },
                "scope": {
                    "project": {
                    # name值為你的項(xiàng)目ID
                        "name": "cn-north-4"
                    }
                }
            }
        }
# 使用POST上傳頭部?jī)?nèi)容和body內(nèi)容
response = requests.post(url, headers=headers, json=payload)
# 獲取token值
token = response.headers['X-Subject-Token']
# 打印token值
print(token)

打印出來(lái)的值是類似于下面這種的字符串

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-1238KehFzgXhJe59fOYyc7hz+qZ5456iYD0pSGqjICZepOBeTvywtsE2fgHdlQq4RZMDm1bkVj46OVNGszzpz8IGecZxRDhxDfBbVsllo9T41QD28o9QZUNyhhXa-ZIS2UdDK-q7gBsR3mT2LRqjQ+J6vpcCzAe6v71IHAf77lgE+vwg7f6qOfhYjRNB9kSC2L1YxJ1eS9j5pzuqlnK+9BOv2U3BIaKsP9yNiP-luS78LzwuEG2rD9OInMst7bCr7HeWT2bZ8gCT4567BvsONvGqVvr3AA==

調(diào)用身份證識(shí)別接口

下面就是調(diào)用識(shí)別接口，調(diào)用這個(gè)接口需要了解以下信息

URL
Header參數(shù)
Body參數(shù)

首先是URL
POST https://{endpoint}/v2/{project_id}/ocr/id-card

參數(shù)	說(shuō)明
endpoint	項(xiàng)目接口域名，這里還是需要確定開通服務(wù)的區(qū)域，每個(gè)區(qū)域不同的域名
project_id	項(xiàng)目ID，不出意外的話就是你上面獲取token的項(xiàng)目ID

請(qǐng)求參數(shù)
請(qǐng)求Header參數(shù)

參數(shù)	說(shuō)明
X-Auth-Token	用戶Token，就是上面獲取到的token值
Content-Type	發(fā)送的實(shí)體的MIME類型，參數(shù)值為“application/json”

請(qǐng)求Body參數(shù)

參數(shù)	說(shuō)明
image	圖像數(shù)據(jù)，base64編碼，要求base64編碼后大小不超過(guò)10MB。圖片最小邊不小于15px，最長(zhǎng)邊不超過(guò)8000px。支持JPEG、JPG、PNG、BMP、TIFF格式。
url	圖片的url路徑
side	front：身份證人像面，back：身份證國(guó)徽面

了解了上面的一系列信息之后，后面就是如何寫代碼了，下面就是直接代碼

import requests
import base64

# url值
url = https://{endpoint}/v2/{project_id}/ocr/id-card
# 上面獲取到的token值
token = ""
# 設(shè)置頭部信息
headers = {'Content-Type': 'application/json', 'X-Auth-Token': token}
# 圖片路徑
imagepath = r'./static/XXX.jpg'
# 設(shè)置圖片
with open(imagepath, "rb") as bin_data:
     image_data = bin_data.read()
# 使用圖片的base64編碼
image_base64 = base64.b64encode(image_data).decode("utf-8")
# url與image參數(shù)二選一
payload = {"image": image_base64}
# 上傳參數(shù)
response = requests.post(url, headers=headers, json=payload)
# 打印識(shí)別的信息
response = response.text
print(response)

最后識(shí)別出來(lái)的結(jié)果類似于下面的信息：

{
  "result": {
    "name": "XXX",
    "sex": "男",
    "ethnicity": "漢",
    "birth": "XXX",
    "address": "XXX",
    "number": "XXX"
  }
}

如果想獲取其中的某一個(gè)值的話需要先轉(zhuǎn)換為字典，通過(guò)字典再進(jìn)行單一讀取

import json

# 轉(zhuǎn)換為字典
test = json.loads(response)
# 從字典中獲取相應(yīng)的值
username = test['result']['name']

到這里就已經(jīng)完成了這個(gè)項(xiàng)目

總結(jié)

上面已經(jīng)簡(jiǎn)單說(shuō)明了如何調(diào)用相應(yīng)的接口去識(shí)別身份證了，下面我把源碼給到大家吧，大家可以作為參考哦，下面是使用python+flask+redis+華為云OCR實(shí)現(xiàn)的

import json
from flask import Flask, render_template
import requests
from flask_redis import FlaskRedis
import base64

app = Flask(__name__)

# 設(shè)置redis連接地址
REDIS_URL = 'redis://127.0.0.1:6379/0'
# 實(shí)例化redis
rd = FlaskRedis(app, decode_responses=True)	


@app.route('/')
def hello_world():
	# 獲取redis緩存中token
    token = rd.get('token')
    # 判斷redis中是否有token值，有則直接使用，沒(méi)有則獲取token值并寫入redis中
    if token is None:
        url = "https://iam.cn-north-4.myhuaweicloud.com/v3/auth/tokens"
        headers = {'Content-Type': 'application/json'}
        payload = {
            "auth": {
                "identity": {
                    "methods": [
                        "password"
                    ],
                    "password": {
                        "user": {
                            "name": "XXX",
                            "password": "XXX",
                            "domain": {
                                "name": "XXX"
                            }
                        }
                    }
                },
                "scope": {
                    "project": {
                        "name": "cn-north-4"
                    }
                }
            }
        }
        response = requests.post(url, headers=headers, json=payload)
        requst = response.ok
        # 判斷是否獲取token值成功
        if not requst:
            error = "獲取token失敗"
            return render_template('test.html', db=error)
        # 從返回值中獲取token值    
        token = response.headers['X-Subject-Token']
        # 在redis添加token值，下次不再調(diào)用，并設(shè)置緩存時(shí)間為24小時(shí)
        relue = rd.set('token', token, ex=60 * 1440)
        # 判斷是否再redis中添加token值成功
        if relue != 1:
            error = "寫入錯(cuò)誤"
            return render_template('test.html', db=error)
	
    url = "https://ocr.cn-north-4.myhuaweicloud.com/v2/cn-north-4/ocr/id-card"
    headers = {'Content-Type': 'application/json', 'X-Auth-Token': token}

    imagepath = r'./static/XXX.jpg'
    with open(imagepath, "rb") as bin_data:
        image_data = bin_data.read()
    image_base64 = base64.b64encode(image_data).decode("utf-8")  # 使用圖片的base64編碼
    payload = {"image": image_base64}  # url與image參數(shù)二選一
    response = requests.post(url, headers=headers, json=payload)
    # 判斷是否識(shí)別成功
    if not response.ok:
        error = "識(shí)別失敗，請(qǐng)聯(lián)系管理員"
        return render_template('test.html', db=error)
    response = response.text
    test = json.loads(response)
    username = test['result']['name']
    return render_template('test.html', db=username)


if __name__ == '__main__':
    app.run()

到此這篇關(guān)于Python中AI圖像識(shí)別實(shí)現(xiàn)身份證識(shí)別的文章就介紹到這了,更多相關(guān)Python AI圖像識(shí)別內(nèi)容請(qǐng)搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家！

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