… -order textures, although they are also discriminative, were ignored in the existing works.
2nd-order textures are first employed for palmprint recognition in this paper. 1st-order textures …

… So a palmprint image is considered as a texture image, and some texture analysis methods
are used to extract texture features for palmprint recognition. These methods include Global …

… the hand image having the most discriminating features for recognition. Moreover, this proposed
… Secondly, we investigate a palmprint recognition method based on the textures features …

… scheme for palmprint recognition using a sparse representation of features obtained from …
-art schemes that reveals the efficacy of the proposed scheme for robust palmprint recognition. …

… feature extraction and recognition of palmprint. We propose to use a unified framework to
classify palmprint … [64]–[68] were proposed by coding the texture features of palmprint images. …

… Section 2 presents the details of our proposed approach for palmprint recognition. We
evaluate the performance of the proposed descriptors in section 3. Finally, we present the …

… texture features. Shu and Zhang [15] extracted the hand shape and principal line features to
build the palmprint recognition … line feature matching characteristics in palmprint verification. …

… palmprint recognition systems rely on the extraction of these prominent and discriminative
features to achieve outstanding recognition … operator to extract the texture features of the palm …

… This paper has proposed three global features for 3-D palmprint images: MD, HCA, and RLL…
with local features, such as line and texture features. To make these global features efficient …

… This section introduces the DL-based methods for palmprint and IFT recognition. In particular,
it is possible to divide DLbased methods for palmprint recognition in three classes, based …