A Face Recognition System Using Off-the-Shelf Feature Extractors and an Ad-Hoc Classifier

摘要

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