This paper proposes a novel method for recognizing palmprint using the winner-take-all
(WTA) network based independent component analysis (ICA) algorithm and the radial basis …

This paper proposes a novel and successful method for recognizing palmprint based on
radial basis probabilistic neural network (RBPNN) proposed by us. The RBPNN is trained by …

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 …

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 …

In this letter, a novel modular neural network (MNN) classifier, which partitions a K-class
problem into many much easier two-class problems in sub-subspaces, was proposed to …

Various palmprint recognition methods have been proposed and applied in security,
particularly authentication. However, improving the performance of palmprint recognition …

This paper investigates palmprint recognition using Principal Component Analysis (PCA)
and the Adaptive Principal component EXtraction (APEX) which is one of the PCA …

This study presents a hierarchical palmprint feature extraction and recognition approach
based on multi‐wavelet and complex network (CN) since they can effectively decrease …

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 …

This paper presents a novel Daubechies-based kernel Principal Component Analysis (PCA)
method by integrating the Daubechies wavelet representation of palm images and the …