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Face-Recognition Notebook & Demo using principal component analysis.

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Face Recognition with PCA

Run the demo and have a look at the pca-face-recognition notebook to see how PCA is used to compare images.

Dataset: vision.caltech.edu/html-files/archive.html

Hot to run the demo:

  1. Download & move faces-dataset in to a folder called face_images to the root directory of the project.
  2. Run entire pca-face-recognition.ipynb notebook (creates principal component matrix and saves it).
  3. Run python demo_server.py (localhost:5000).

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Face-Recognition Notebook & Demo using principal component analysis.

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