A simple face recognition program. It is trained on a small faces dataset and gave a very promising accuracy in identifying the people. PCA and LDA were used for dimensionality reduction and in finding the most dominant Eigenfaces, then a basic KNN classifier was used to predict the result of each test record. This project is mainly to familiarize with PCA, LDA and Some Python libaries.
IngyBadawi/FaceRecognition-Eigenfaces
A simple face recognition model trained on a faces dataset and gave a very promising accuracy in identifying the people. PCA and LDA were used for dimensionality reduction and in finding the most dominant Eigenfaces. The results were predicted with a basic KNN classifier.
Jupyter Notebook