A color facial authentification system based on semi supervised backporpagation neural network

摘要

A Backpropagation Neural Network (BPNN) is one of the most used methods in the domain of face recognition. BPNN need supervised training to learn how to predict results from desired data, and through many research and studies, they proof there robustness to do so. In this paper, we propose a hybrid method to achieve face recognition purpose using semi supervised BPNN. The idea is to get the desired output of the network from an exterior classifier and then apply the back propagation algorithm to recognize facial data.