Planar Multi-Classifier Modelling-NN/NN for Face Recognition

In this paper we present an approach of face recognition by using a planar multi-classifier modelling based on neural networks. Each class of the database has been modelled by a PMCM-NN/NN formed by three secondary models and a main one of an MLP type. We have retained the same characteristics and database used in [2]. The various experiments have been proven on a FERET face database. The recorded results have shown the contribution of our proposed concepts for the generalization of planar models, initially based on HMMs, to other types of classifiers neural in this case. The validation of the PMCM in the case of face recognition shows results that are very promising and better than those registered in [2].