IDCardRecognition - Docker

This stands for ID card scanner, ID document reader, ID card reader, ID document recognition, passport scanner, ID scanner, MRZ parser, barcode reader, barcode scan, MRZ scan on Linux server.

Overview

The demo project demonstrates the server-based recognition capabilities for ID cards, passports, and driver's licenses.

This stands for ID card scanner server, ID document reader server, ID card reader server, ID document recognition server, passport scanner server, ID scanner server, MRZ parser server, barcode reader server, barcode scan server, MRZ scan server in python language on Linux server

SDK

ID Card Recognition SDK - Server

Github

GitHub - kby-ai/IDCardRecognition-Docker: Intelligent ID OCR, ID document recognition on server to read ID card, passport and driver license, which is most powerful ID scanner and ID document readerGitHub

dockerhub

kbyai/idcard-recognition - Docker Imagehub.docker.com

Test Online

Gradioweb.kby-ai.com

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

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 and unzip it: 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 replace the license.txt file 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 by using the following command:

cd gradio
python demo.py

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