Robust periocular recognition by fusing local to holistic sparse representations
Juan Carlos Moreno, V. B. Surya Prasath, Hugo Proença · 2013
Sparse representations have been advocated as a relevant advance in biometrics research. In this paper we propose a new algorithm for fusion at the data level of sparse representations, each one obtained from image patches. The main novelties are two-fold: 1) a dictionary fusion scheme is formalised, using the l1--- minimization with the gradient projection method; 2) the proposed representation and classification method does not require the non-overlapping condition of image patches from where individual dictionaries are obtained.