… palmprint recognition using a sparse representation of features obtained from Bank of Binarized
Statistical Image Features (B-BSIF). The palmprint … of an appropriate texture descriptor …

… non‐LBP texture methods in palmprint recognition problem. … number of recent texture
descriptors in palmprint recognition. … palmprint databases, indicate that a number of tested local …

… a theoretical perspective, this framework allows fusing texture analysis and shape analysis.
… multiple features like Gabor texture and Line features for palmprint recognition. Then, the …

… -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 …

… previous descriptors that analyzed the palmprint texture, we find … spatial texture information
and variability of texture pattern of … is based on palmprint texture analysis and other methods …

… 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 …

… 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 features extraction is a substantial step of the palmprint biometric recognition. Texture
analysis is the major fields in the image retrieval process. In this phase, we investigate the …

… allows fusing texture analysis and shape analysis. … like Gabor texture and Line features for
palmprint recognition. … (PSO) and Principal Component Analysis (PCA) to reduce the feature …

… Abstract In this paper, a new Palmprint recognition technique is introduced based on the
gray-level co-occurrence matrix (GLCM). GLCM represents the distributions of the intensities …