In this paper, a linear discriminant analysis method with L1 norm (LDA-L1) for palmprint
recognition is proposed. The traditional linear discriminant analysis method based on L2 …

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 …

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

In this paper, we propose a novel Discriminant Orientation Representation, called DORIR,
for palmprint identification. To extract DORIR feature, we proposed the algorithm which …

In the field of palmprint recognition, traditional classification methods such as PCA and LDA
only exploit training samples to build the model of classifiers while ignoring the feedback of …

Palmprint is a new biometric feature for personal identification with a high degree of privacy
and security. In this paper, we propose the palmprint feature extraction method which …

A novel palmprint recognition method based on sparse two-dimensional local discriminant
projections (S2DLDP) is proposed. After a description of the basic theory and resolution …

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 …

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 extensively exploit the discriminative orientation features of palmprint,
including the principal orientation and corresponding orientation confidence, and further …