… 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 …

… 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 …

… 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 …

… The palmprint recognition of individuals is providing more security through the recognition
of their left or right palms compare to other biometric traits. Our research work is proposed a …

… , our study meticulously describes 20 extensively employed and recognized palmprint …
palmprint recognition feature extraction approaches into line-based approaches, texture descriptor…

… LBP (MSEALBP) for palm-print recognition. Sobel vertical and … implemented to form a texture
vector. Different experiments … the proposed multi-scale palm-print recognition process. The …

… [21] originally proposed the standard LBP as a texture descriptor that measures neighborhood
evaluation in texture analysis finds microtextons in a surrounding area. By comparing …

… 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 …