… 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 …

… -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 …

… 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 …

… The integration of palmprint recognition with some other biometric recognition system …
palmprint recognition in which the main aim is related to software based performance analysis …

… palmprint recognition and latent palmprint identification are two branches of palmprint … the
latter uses high-resolution latent palmprints collected in crime scenes for forensic investigation. …

… The authors presented a deep convolutional neural network (DCNN)-based palm print and
palm vein recognition system. The experimental results were presented for both palm print …

… For palmprint recognition features can be selected based on the parameters like shape,
texture and colour. For correct classification of individual selection of useful features is an …

… is implemented for palmprint recognition, … recognition performance in generic palmprint
recognition compared to other state-of-the-art methods. For contact-based palmprint recognition …

… We first extract the most important inherent features of a palmprint, including the texture,
gradient and direction features, and encode them into triple-type feature codes. Then, we use …

… 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. …