… 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 …

… Because of the optimum localization assets in both spatial and frequency area of the
Gabor function, it is viewed as an efficient tool in texture analysis. There are many methods to …