… effective ensemble learning method for palmprint identification based on Random Subspace
Sampling (RSS). To achieve it, we rely on 2D-PCA to build the random subspaces. As 2D-…

… We perform our experiments with 2 and 4 training samples and the remaining ones as test.
Each experiment is repeated 10 times to average out the effect of random subspace sampling …

… for palmprint recognition based on Random Subspace Method (… to build nearly incoherent
random subspaces. As 2DPCA is … may randomly sample the features related to each subspace …

… In our research, inspired by the concepts of LBP feature descriptors and a random sampling
subspace, we propose an ensemble learning framework, using a variant of LBP constructed …

… To demonstrate the efficiency of the improved ROI algorithm, Figure 2 shows a sample of
ROIs extracted using our method and Zhang’s method in which it can be clearly seen that our …

… for palm print features of different subspace methods have been projected. Where the different
subspace … The experiment results by using two palm print databases determine that the …

… of training samples are small [6]. 2D PCA and 2D LDA over conventional PCA and LDA
have been reported to be better for palmprint recognition in [7, 22]. Fusion of palmprint features …

… palmprint sample, we need to predict the class label by comparing it with all training samples
… 3) Subspace learning based [7], where the original palmprint images are transformed into a …

… another sample that dedicated for testing into different subspaces to … palmprint image into
different subspaces and match the results with the classes in the corresponding subspaces. …

… of palmprint recognition. In this article, by regularly sampling different local regions of the
palmprint … palmprint recognition methods and some subspace learning-based methods for …