Local binary patterns (LBP) are one of the most important image representations. However,
LBPs have not been as successful as other methods in palmprint recognition. Originally, 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 directions have been proved to be one of the most effective features for palmprint
recognition. However, most existing direction-based palmprint descriptors are hand-craft …

Direction information serves as one of the most important features for palmprint recognition.
In the past decade, many effective direction representation (DR)-based methods have been …

Direction information of the palmprint provides one of the most promising features for
palmprint recognition. However, more existing direction-based methods only extract the …

In this paper, we propose a palmprint recognition method based on eigenspace technology.
By means of the Karhunen–Loeve transform, the original palmprint images are transformed …

Palmprint images contain rich unique features for reliable human identification, which makes
it a very competitive topic in biometric research. A great many different low resolution …

Human palmprint-based biometric solutions have been studied extensively in both
controlled and uncontrolled environments. However, the majority of existing methods do not …

This paper proposes a novel algorithm for image feature extraction, namely, the two-
dimensional locality preserving projections (2DLPP), which directly extracts the proper …

Palmprint direction patterns have been widely and successfully used in palmprint
recognition methods. Most existing direction-based methods utilize the pre-defined filters to …