ahmadosgalal / Facial_Recognition_System

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Face Recognition Project

The project is divided into 4 modules

The project is built for educational purposes, to learn how to apply feature engineering techniques, so it may be slower or have a lower accuracy than the library functions, but the accuracy is acceptable

  1. Face Detection

  2. Landmark Detection

  3. Recognition using Eigen Faces

  4. Recognition using Local Binary Pattern Histograms

  5. A demo video for the module: https://youtu.be/9adhzAfto0I

    Applying Local Binary Patterns filter to get a LBP image after using the preprocessed grayscale version of the image, applying a histogram comparison to get the closeness of any two images to check the identity of the person

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