… an updated survey of palmprint recognition methods, and present a comparative study to
evaluate the performance of the state-of-the-art palmprint recognition methods. Using the Hong …

… for palmprint recognition using a sparse representation of features obtained from Bank of
Binarized Statistical Image Features (B-BSIF). The palmprint … on the given palmprint image is …

… -LBP texture methods in palmprint recognition problem. Motivated by this, … comparative
study of the performance of a large number of recent texture descriptors in palmprint recognition. …

… tools of visual recognition. In this paper, we present a comparative study of three popular pre…
We address the problem of palmprint identification in low-quality imagery and apply Support …

… Finally, a comparative study to evaluate their performances for both … palmprint recognition
methods regrouped into Żve categories, while Sec. 4 analyzes and compares their recognition …

… palm print images is employed for testing stage. The highest and average correct recognition
… [30] has studied palm print recognition which employed DWT for image feature extraction …

… methodologies employed within biometric palmprint recognition models. It … and a comparative
study of algorithmic approaches. Specifically, this review delves into palmprint recognition …

… A decrease on the segmentation accuracy directly influences the extraction and
alignment of the ROI, which is a crucial step for texture-based palmprint recognition. Most of …

… In the field of palmprint recognition, the best algorithms … for palmprint. We utilized a
multiscale version of Orthogonal Line Ordinal Feature (OLOF) to fused image as well as palmprint …

… recent research progress of palmprint recognition as well as … future perspectives in palmprint
recognition for further works. … future perspectives in palmprint recognition for further works. …