📚 Product & Resources - Here

🛟 Help Center - Here

💼 KYC Verification Demo - Here

🙋‍♀️ Docker Hub - Here

sudo docker pull kbyai/idcard-recognition:latest
sudo docker run -e LICENSE="xxxxx" -p 8082:8080 -p 9002:9000 kbyai/idcard-recognition:latest

IDCardRecognition-Docker

Introduction

This repo demonstrates the server-based recognition capabilities for ID cards, passports, and driver's licenses.
At the core of this project lies the ID Card Recognition SDK, which has been developed to provide comprehensive support for recognizing ID cards, passports, and driver's licenses from 200+ countries.

◾ID Card Recognition SDK Main Functionalities

Surpported ID Type	Functionalities	Release Type
ID Card	Extracting Information(OCR)	Android(Kotlin & Java)
Passport	Scanning Barcode	iOS(Swift & Objectiv-C)
Driver License	Parsing MRZ	Flutter(Dart)
	Auto Capturing	Web Front-end(Javascript)
	Scanning QR code	Server-Windows(Python)
	Supporting 200+ Countries' ID Documents	Server-Linux(Python)
	Supporting 130+ Languages
	ID Document Detection

◾ID Card Recognition Product List

No.	Repository	Release Type
1	ID Card Recognition - Android	Android
2	ID Card Recognition - iOS	iOS
3	ID Card Recognition - Flutter	Flutter
4	ID Auto Capture - React	Web Front-end
5	ID Card Recognition - Windows	Server-Windows
➡️	ID Card Recognition - Linux	Server-Linux

Try the API

Online Demo

You can test the SDK using images here.

Documentation

https://docs.kby-ai.com/help/product/id-card-sdk

Postman

To test the API, you can use Postman. Here are the endpoints for testing:

• Test with an image file: Send a POST request to http://18.221.33.238:8082/idcard_recognition

• Test with a base64-encoded image: Send a POST request to http://18.221.33.238:8082/idcard_recognition_base64

  You can download the Postman collection to easily access and use these endpoints. click here

  

SDK License

This project uses KBY-AI's Face Recognition Server SDK, which requires a license per machine.

• The code below shows how to use the license:

  IDCardRecognition-Docker/app.py

  Lines 14 to 25 in 9f8138f

  	licensePath = "license.txt"
  	license = ""
  	machineCode = getMachineCode()
  	print("machineCode: ", machineCode.decode('utf-8'))
  	try:
  	with open(licensePath, 'r') as file:
  	license = file.read()
  	except IOError as exc:
  	print("failed to open license.txt: ", exc.errno)
  	print("license: ", license)

• To request the license, please provide us with the machine code obtained from the "getMachineCode" function.

Please contact us:

🧙Email: contact@kby-ai.com
🧙Telegram: @kbyai
🧙WhatsApp: +19092802609
🧙Skype: live:.cid.66e2522354b1049b
🧙Facebook: https://www.facebook.com/KBYAI

How to run

1. System Requirements

• CPU: 2 cores or more (Recommended: 2 cores)
• RAM: 4 GB or more (Recommended: 8 GB)
• HDD: 4 GB or more (Recommended: 8 GB)
• OS: Ubuntu 20.04 or later

2. Setup and Test

• Clone the project:

  git clone https://github.com/kby-ai/IDCardRecognition-Docker.git
  

• Download the model from Google Drive: click here

  cd IDCardRecognition-Docker
  
  wget --load-cookies /tmp/cookies.txt "https://docs.google.com/uc?export=download&confirm=$(wget --quiet --save-cookies /tmp/cookies.txt --keep-session-cookies --no-check-certificate 'https://docs.google.com/uc?export=download&id=1fmTUG7a9IoMA8QiXR9A0xf3Cr6D5UkdC' -O- | sed -rn 's/.*confirm=([0-9A-Za-z_]+).*/\1\n/p')&id=1fmTUG7a9IoMA8QiXR9A0xf3Cr6D5UkdC" -O data.zip && rm -rf /tmp/cookies.txt
  
  unzip data.zip
  

• Build the Docker image:

  sudo docker build --pull --rm -f Dockerfile -t kby-ai-idcard:latest .
  

• Run the Docker container:

  sudo docker run -v ./license.txt:/root/kby-ai-idcard/license.txt -p 8082:8080 kby-ai-idcard
  

• Send us the machine code and then we will give you a license key.

  After that, update the license.txt file by overwriting the license key that you received. Then, run the Docker container again.

  

  

• To test the API, you can use Postman. Here are the endpoints for testing:

  Test with an image file: Send a POST request to http://{xx.xx.xx.xx}:8082/idcard_recognition

  Test with a base64-encoded image: Send a POST request to http://{xx.xx.xx.xx}:8082/idcard_recognition_base64

  You can download the Postman collection to easily access and use these endpoints. click here

3. Execute the Gradio demo

• Setup Gradio Ensure that you have the necessary dependencies installed.

  Gradio requires Python 3.6 or above.

  You can install Gradio using pip by running the following command:

  pip install gradio
  

• Run the demo Run it using the following command:

  cd gradio
  python demo.py
  

• You can test within the following URL:
  http://127.0.0.1:9000

About SDK

1. Initializing the SDK

• Step One

  First, obtain the machine code for activation and request a license based on the machine code.

  machineCode = getMachineCode()
  print("machineCode: ", machineCode.decode('utf-8'))
  

• Step Two

  Next, activate the SDK using the received license.

  setActivation(license.encode('utf-8'))
  

  If activation is successful, the return value will be SDK_SUCCESS. Otherwise, an error value will be returned.

• Step Three

  After activation, call the initialization function of the SDK.

  initSDK()
  

  If initialization is successful, the return value will be SDK_SUCCESS. Otherwise, an error value will be returned.

2. APIs

• ID Card Recognition

  The SDK provides a single API for ID card recognition.

  The function can be used as follows:

  ret = idcardRecognition(base64_image.encode('utf-8'))
  

  The function accepts only one parameter, which should be the base64-encoded format of the image (e.g., JPG, PNG, etc.).

  If the recognition is successful, the function will return a JSON-formatted string containing the recognized information. In case of failure, the return value will be NULL.