The palmprint recognition methods can be categorized as the feature-based methods and
the appearance-based methods. The conventional appearance-based representation …

The sparse representation can deal with the lack of sample problem due to utilizing of all the
training samples. However, the discrimination ability will degrade when more training …

In this paper, we propose a palmprint recognition method based on the representation in the
feature space. The proposed method seeks to represent the test sample as a linear …

A new palmprint recognition method based on local Fisher discriminant analysis (LFDA) is
proposed. In order to solve the singularity of the eigenvalue equation matrix in small-size …

Different palmprint recognition methods have different advantages. The texture-and feature-
based palmprint recognition methods can well exploit the minutiae of the palmprint but are …

Recent researches have shown that the texture descriptor local tri‐directional patterns
(LTriDP) performs well in many recognition tasks. However, LTriDP cannot effectively …

In this paper, we propose an information fusion-based palmprint recognition method. Firstly,
three different kinds of palmprint features including texture, principal line and appearance …

Palmprint contains stable and effective features, especially the orientation and scale
features of palm lines, and has now become an important identity recognition technique for …

In this paper, we propose a fusion classification method based on reconstruction error and
normalized distance for palmprint recognition. This method first obtains an approximate …

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 …