Face recognition systems are of great interest in many appli-
cations. We present some results from a comparison on dierent classi-
cation methods using an open source tool that works with Convolutional
Neural Networks to extract facial features. This work focuses on the per-
formance obtainable from a multi-class classier, trained with a reduced
number images, to identify a person between a group of known and un-
known subjects . The overall system has been implemented in an Odroid
XU-4 Platform.
