Halix267 / Face-X

Recognition of faces by various algorithms. Join Discord channel for discussion.

FACE-X

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Facial recognition’s algorithms

There are several approaches for recognizing a face. The algorithm can use statistics, try to find a pattern which represents a specific person or use a convolutional neural network.

The algorithms used for the tests are Eigenfaces, Fisherfacesand local binary patterns histograms which all come from the library OpenCV. Eigenfaces and Fisher faces are used with a Euclidean distance to predict the person. The algorithm which is using a deep convolutional neural network is the project called OpenFace.

This can be used for automatic face detection attendance system in recent technology.

Despite a variety of open-source face recognition frameworks available, there was no ready-made solution to implement. The available algorithms processed only high-resolution static shots and performed insufficiently.

Requirements

• Python3.6+
• virtualenv (pip install virtualenv)

Installation

• virtualenvv env
• source venv/bin/activate (Linux)
• venv\Scripts\activate (Windows)
• pip install -r requirements.txt
• Create an .env file, copy the content from .env.sample and add your data path. Example: DATA_PATH = "./foto_reco/"