… Region of interest (ROI) extraction To extract the region of interest of the palmprint image,
our system is based on the detection of the four … For this, we need a feature selection method. …

… In our experiments, after extracting the Region of Interest (ROI) from the palmprint images,
we resized the images to \(32 \times 32\) and applied the Log-Gabor filters for adjusting pixel …

… , we scanned partial palmprints from different regions of the palms, following the method in
[8]. … Based on the above analysis, we select the SVMs as the fusion method for the verification …

… ‐based palmprint matching, in this work the authors present anatomically inspired regional
fusion while using SMC for palmprints. Firstly, the authors consider three regions of the palm, …

… iris and palmprint recognition. The objective function of the proposed feature selection method
… In this paper, all palmprint images are normalized into a central ROI region with resolution …

… Motived this way, we propose a novel palmprint recognition … sequential forward selection
method is used to select a small … level, local region matching and feature selection or learning…

… in analyzing palmprint have been proposed but to the best of our knowledge, none has been
studied on the selection and division of the region-ofinterest (ROI). Previous methods were …

… image is established in the center band (760 nm), and then a region of interest (ROI) is … of
special palmprint feature, dark palm lines. Thus, a typical palmprint recognition method is used …

… Otherwise we select the optimal keypoints using the following manner. First, we select arbitrary
3 candidates and construct a triangle using these 3 candidates as shown in Fig. 7, where …

… the spatial relations of the palmprint regions. Then, we apply … -regions to describe the texture
features of the palmprint. Finally, the concatenation of histograms produced by each region …