Proposed parallel fusion scheme. This figure shows the parallel fusion scheme to combine the results of global Gabor features and local SURF descriptors. Both global and local features are first projected into a smaller dimensional subspace using LPP. Note that we transform each SURF feature separately into the feature space before concatenating the resulting vectors to a comprehensive local feature vector. The global feature is classified using SRC while the local feature vector is classified by SVM with RBF kernel. The ranked results are then combined using the decision fusion rank sum method explained in Section 3.3.4 to obtain the final result.