In this paper, we propose a system for face verification. It describes in detail each stage of the system: the modeling of the face, the extraction of relevant features and the classification of the input face as a client or an impostor. This system is based on LDA feature extraction, successfully used in previous st and MLP for classification. Experiments were carried out on a difficult multi-modal database, namely BANCA. Results show that our approach perform better than the state-of-the-art on the same database. Experiments show also contradictory results in the state-of-the-art literature.