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
to25
(used as training set from theimages
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.
Dec 20th, 2020