Juara eKYC Library

Juara eKYC is a Python library for electronic Know Your Customer (eKYC) verification, including document verification, face processing, liveness detection, and face matching.

Features

• Document verification
• Face processing
• Liveness check
• Face matching
• Flask-based API for eKYC verification

Prerequisites

• Python 3.7+
• OpenCV
• NumPy
• scikit-learn
• deepface
• paddleocr
• Flask
• dlib

Installation

For Windows Users:

1. Ensure you have CMake installed. You can download it from cmake.org.

2. Uninstall any previous versions:

   pip uninstall ekyc
   

3. Clear pip cache:

   pip cache purge
   

4. Install the package:

   pip install path/to/ekyc-0.0.4-py3-none-any.whl
   

   Note: This will automatically install the correct dlib version for your Python installation.

5. You may need to install PaddleOCR and PaddlePaddle separately:

   pip install paddlepaddle
   pip install paddleocr
   

For Other Operating Systems:

You can install the eKYC library using pip:

pip install juara_ekyc

Usage

Here's a basic example of how to use the Juara eKYC library:

python from juara_ekyc import process_id_verification result, message = process_id_verification('path/to/image.jpg') print(f"Verification result: {result}") print(f"Message: {message}")

Development

1. Clone the repository:

   git clone https://github.com/yourusername/juara_ekyc.git
   cd juara_ekyc
   

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
   

3. Install the development dependencies:

   pip install -r requirements.txt
   

4. Run the tests:

   python -m unittest discover tests
   

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.