目錄
- 需求分析
- 步驟
- 申請華為云OCR接口
- 獲取token
- 調(diào)用身份證識別接口
- 總結(jié)
圖像識別說白了就是把一張照片上面的文字進行提取，提供工作效率
需求分析
身份證識別主要是把一張身份證照片上面的文字信息進行提取，不用再使用人工去手動抄寫了，下面給大家說的這個身份識別主要是使用python+flask+華為云OCR進行實現(xiàn)的。
步驟
- 申請華為云OCR接口
- 獲取token
- 調(diào)用身份證識別接口
- 提取身份證信息
申請華為云OCR接口
圖像識別主要使用的就是華為云OCR平臺申請的接口，申請地址為：“https://www.huaweicloud.com”。訪問申請的地址后點擊菜單欄中的“控制臺”，點擊后會進入登錄頁面。
登錄成功后進入控制臺，依次單擊“服務列表”-“人工智能”-“文字識別OCR”
進入后點擊身份證識別后面的“開通服務”即可，（這里需要主要的是免費開通的身份證識別服務僅有1000次的免費調(diào)用次數(shù)，超過次數(shù)將會收費，建議購買套餐包，購買可以找我，我可以給優(yōu)惠哦）
獲取token
獲取token值時你需要知道你的以下信息：
- IAM用戶所屬賬號名
- IAM用戶名
- IAM用戶的登錄密碼
- IAM用戶所屬賬號的項目名稱
首先就是獲取IAM用戶所屬賬號名，IAM用戶所屬賬號名為你登陸的那個賬號
獲取IAM用戶名，選擇右上角“用戶名”-點擊“統(tǒng)一身份認證”
里面的用戶即為IAM用戶名
獲取IAM用戶所屬賬號的項目名稱，點擊“項目”
里面的項目很多，你只需要記錄你開啟OCR身份證識別區(qū)域的項目名稱ID就可以了，比如我選擇的北京四所以我的項目名稱就是：“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，這個接口基本一致，需要注意的是“iam.cn-north-4.myhuaweicloud.com”這個需要根據(jù)具體需求進行修改，不同區(qū)域項目不同
url = "https://iam.cn-north-4.myhuaweicloud.com/v3/auth/tokens"
# 頭部信息
headers = {'Content-Type': 'application/json'}
# json內(nèi)容，需要上傳進行做驗證
payload = {
"auth": {
"identity": {
"methods": [
"password"
],
"password": {
"user": {
# name值為你的IAM賬號名
"name": "XXX",
# password值為你的IAM密碼
"password": "XXX",
"domain": {
# name值為你的主賬號的賬號名
"name": "XXX"
}
}
}
},
"scope": {
"project": {
# name值為你的項目ID
"name": "cn-north-4"
}
}
}
}
# 使用POST上傳頭部內(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)用身份證識別接口
下面就是調(diào)用識別接口，調(diào)用這個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) |
說明 |
| endpoint |
項目接口域名，這里還是需要確定開通服務的區(qū)域，每個區(qū)域不同的域名 |
| project_id |
項目ID，不出意外的話就是你上面獲取token的項目ID |
|
請求參數(shù)
請求Header參數(shù)
| 參數(shù) |
說明 |
| X-Auth-Token |
用戶Token，就是上面獲取到的token值 |
| Content-Type |
發(fā)送的實體的MIME類型，參數(shù)值為“application/json” |
|
請求Body參數(shù)
| 參數(shù) |
說明 |
| image |
圖像數(shù)據(jù)，base64編碼，要求base64編碼后大小不超過10MB。圖片最小邊不小于15px，最長邊不超過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 = ""
# 設置頭部信息
headers = {'Content-Type': 'application/json', 'X-Auth-Token': token}
# 圖片路徑
imagepath = r'./static/XXX.jpg'
# 設置圖片
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)
# 打印識別的信息
response = response.text
print(response)
最后識別出來的結(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值的話需要先轉(zhuǎn)換為字典，通過字典再進行單一讀取
import json
# 轉(zhuǎn)換為字典
test = json.loads(response)
# 從字典中獲取相應的值
username = test['result']['name']
到這里就已經(jīng)完成了這個項目
總結(jié)
上面已經(jīng)簡單說明了如何調(diào)用相應的接口去識別身份證了，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實現(xiàn)的
import json
from flask import Flask, render_template
import requests
from flask_redis import FlaskRedis
import base64
app = Flask(__name__)
# 設置redis連接地址
REDIS_URL = 'redis://127.0.0.1:6379/0'
# 實例化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，并設置緩存時間為24小時
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)
# 判斷是否識別成功
if not response.ok:
error = "識別失敗，請聯(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()
到此這篇關于Python中AI圖像識別實現(xiàn)身份證識別的文章就介紹到這了,更多相關Python AI圖像識別 內(nèi)容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關文章希望大家以后多多支持腳本之家！
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