Wait a minute... Who are you? 🧐

This is simply a little face recognizer which employs Principal Components Analysis, Fisher Discriminant Analysis, and K-Nearest Neighbors. It was developed as part of our Data Science degree with @chriss1245

Note: This project is developed for educational purposes only. It should not be used otherwise.

• It can only recognize 25 faces labeled 1 to 25 (used as training set from the images folder). Source

• If it can not recognize a face it will label it as 0.

• It only supports images with the same resolutions as the ones stored on the images folder.

Note: the main class is mda.R, if you want to test it, edit the test_classifier.R file.

View Report Here

Dec 20th, 2020