Skip to Main Content
In this paper, we propose a new hybrid method for the recognition of faces combines the neural networks with the principal component analysis. By using the geometrical approach, we carry out a preliminary classification of the faces by PCA before using a neuronal classifier (PMC). The results, compared with those of the PCA and PMC classifiers, give a clear improvement in terms of classification. To carry out our tests, we used a very rich database created in the Laboratory of Automatics and Informatics of Guelma "LAIG"