Palmprint recognition aims at finding out the palmprint template from the database, which is
from the same palm as a given palmprint input. Feature extraction plays an important role in …

Palmprint recognition aims at finding out the palmprint template from the database, which is
from the same palm as a given palmprint input. Feature extraction plays an important role in …

Palmprint recognition aims at finding out the palmprint template from the database, which is
from the same palm as a given palmprint input. Feature extraction plays an important role in …

Palmprint identification refers to searching in a database for the palmprint template, which is
from the same palm as a given palmprint input. The identification process involves …

The wavelet theory has become hot in the last few years for its important relative characters,
such as, subband coding, multiresolution analysis and filter banks. In this paper, we propose …

An approach of palmprint feature extraction based on the second frequency band curvelet
coefficients is proposed in this paper. As we all know, the veins of the palmprint are the …

A major approach for palmprint recognition today is to extract feature vectors corresponding
to individual palmprint images and to perform palmprint matching based on some distance …

Palmprint image contains a wealth of global feature and local feature. We designed
palmprint identification system based on the global strategy and the integration of local …

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 …

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 …