A New Robust and Discriminating Method for Face Recognition Based on Correlation Technique and Independent Component Analysis Model

Ayman Alfalou (1) , C. Brosseau (2)

1 L@BISEN - Laboratoire ISEN
2 Laboratoire d'étude des marériaux

We demonstrate a novel technique for face recognition combined the independent component analysis (ICA) model with the optical correlation technique. Our approach relies on the performances of a strongly discriminating optical correlation method along with the robustness of the ICA model. Simulations were performed to illustrate how this algorithm can identify a face with images from the Pointing Head Pose Image Database (PHPID). While maintaining algorithmic simplicity, this approach based on ICA representation significantly increases the true recognition rate compared to that obtained with an all numerical ICA identity recognition method, that we recently developed, and with another based on optical correlation and a standard composite filter.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]; Optique / photonique

Ayman Alfalou, C. Brosseau. A New Robust and Discriminating Method for Face Recognition Based on Correlation Technique and Independent Component Analysis Model. Optics Letters, 2011, 36, pp.645-647. ⟨hal-00578315⟩