2D Face recognition on IV² database by Steerable pyramid and LDA

Nefissa Khiari Hili (1) , Sylvie Lelandais (1) , Christophe Montagne (1) , Kamel Hamrouni (2)

1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
2 LSTS - Laboratoire des Systèmes et du Traitement du Signal [ENIT]

In this communication, we investigate the 2D Face recognition problem by combining two different methods: an appearance-based projective method : Linear Discriminant Analysis (LDA); and a multiresolution one: Steerable Pyramid (SP). Many fusion strategies have been elaborated and tested on IV² database including challenging variability such as pose, expression, illumination and quality. Results of proposed method were then compared to those related to five algorithms submitted in the first evaluation campaign on 2D face recognition using IV² database. Proposed algorithm is always among the two best ones.

Keywords: 2D face recognition; Feature extraction and selection; Steerable pyramid; LDA

Domains: Signal and Image processing; Signal and Image Processing

Nefissa Khiari Hili, Sylvie Lelandais, Christophe Montagne, Kamel Hamrouni. 2D Face recognition on IV² database by Steerable pyramid and LDA. 7ème atelier sur le Traitement et l'Analyse de l'Information Méthodes et Applications (TAIMA 2011), Oct 2011, Hammamet, Tunisie. (elec. proc). ⟨hal-00762930⟩