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 …

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 …

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

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 …

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 …

A feature extraction method of palmprint recognition based on Two-Dimensional Principal
Component Analysis (2DPCA) is proposed in this work. A series of experiments were …

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 two palmprint identification schemes using fusion strategy. In the
first fusion scheme, firstly, the principal lines of test image is extracted, and matched with that …

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 is one important biometric feature with uniqueness, stability and high
distinguishability, and its study has attracted much attention in the past decades. Although …