Cross-dataset palmprint recognition promotes the convenience and flexibility of palmprint
recognition. However, most of the current cross-dataset palmprint recognition methods need …

Recently, palmprint representation using different descriptors under the incorporation of
deep neural networks, always achieves significant recognition performance. In this paper …

Palmprint region of interest (ROI) extraction under unconstrained conditions is an
unavoidable problem in realizing palmprint recognition. However, the diversity of palm size …

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 and the …

Recently, two-dimensional locality preserving projections (2DLPP) was proposed to extract
features directly from image matrices based on locality preserving criterion. Though 2DLPP …

Palmprint recognition has recently attracted broad attention due to its rich discriminative
features, contactless collection manner and less invasive. However, most existing methods …

Due to security imperatives, biometrics has attracted a lot of attention in recent decades.
Biometric recognition refers to the identification of individuals based on their physiological …

This article proposes robust features fusion methodology for supervised palmprint
recognition. The process of features fusion has been formulated according to the …

Direction-based methods are the most powerful and popular palmprint recognition methods.
However, there is no existing work that completely analyzes the essential differences among …

Palmprint recognition is one of the promising biometric technologies. Many palmprint
recognition methods have excellent performance in recognition within a single dataset …