As a recently proposed technique, sparse representation (SR) has been widely used for
pattern recognition. Sparse representation emphasizes the coefficient sparsity and ignores …

As a recently proposed technique, sparse representation (SR) has been widely used for
pattern recognition. Sparse representation emphasizes the coefficient sparsity and ignores …

To capture the nonlinear similarity of palmprint image features, a new palmprint recognition
method utilizing the kernel trick based sparse representation (KSR) algorithm is proposed in …

Sparse representation uses all training samples to represent a test sample only once, which
can be regarded as a one step representation. However, in palmprint recognition, the …

To extract the essential features from a relatively small number of sampling set and further
improve the feature recognition precision of images, a novel palm recognition method using …

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 …

A palmprint recognition method is proposed by local sparse representation. The method
consists of two problems: palmprint feature extraction problem and palmprint recognition …

Palmprint recognition, as a very important personal identification technology, is taking more
and more attention. A recently proposed method–two-phase test samples representation …

As an important application in optical imaging, palmprint recognition is interfered by many
unfavorable factors. An effective fusion of blockwise bi-directional two-dimensional principal …

The development of accurate and robust palmprint recognition algorithm is a critical issue in
automatic palmprint recognition system. In this paper, we propose a palmprint recognition …