NID Extraction Server

This is a Flask server that extracts data from Bangladeshi National ID cards using computer vision and OCR.

Prerequisites

• Python 3.8 or higher
• Required Python packages (see requirements.txt)

Installation

1. Create a virtual environment:

# Create a virtual environment
python -m venv venv

Activate the virtual environment

# On Windows
venv\Scripts\activate

# On macOS/Linux
source venv/bin/activate

2. Install setuptools (required for package installation):

pip install setuptools

3. Install the required Python packages:

pip install ultralytics
pip install opencv-python
pip install pandas
pip install numpy
pip install easyocr
pip install Pillow 
pip install flask

Running the Server

Start the server by running:

python app.py

The server will start on port 5001 by default. You can change the port by setting the PORT environment variable.

API Endpoints

Returns the status of the server.

Extract NID Data

POST /extract

Parameters:

• image: The NID image file (multipart/form-data)
• save_output: Whether to save the output image with bounding boxes (optional, default: false)

Returns:

• JSON object containing the extracted data from the NID