Linear discriminant analysis (LDA)-based methods have been very successful in face and
palmprint recognition. Recently, a class of post-processing approaches has been proposed …

In the field of image processing and recognition, discrete cosine transform (DCT) and linear
discrimination are two widely used techniques. Based on them, we present a new face and …

We propose in this paper two improved manifold learning methods called diagonal
discriminant locality preserving projections (Dia-DLPP) and weighted two-dimensional …

Discriminant analysis is effective in extracting discriminative features and reducing
dimensionality. In this paper, we propose an optimal subset-division based discrimination …

In this paper, a multi-resolution feature extraction algorithm for palm-print recognition is
proposed based on two-dimensional discrete wavelet transform (2D-DWT), which efficiently …

In this paper, a frequency domain feature extraction algorithm for palm-print recognition is
proposed, which efficiently exploits the local spatial variations in a palm-print image. The …

A new subspace learning algorithm called locality preserving discriminant projections
(LPDP) is proposed by adding the criterion of maximum margin criterion (MMC) into the …

This paper employs both two-dimensional (2D) and three-dimensional (3D) features of
palmprint for recognition. While 2D palmprint image contains plenty of texture information …

Linear discriminant analysis (LDA)-based methods have been very successful in face
recognition, yet little investigation has been done on the fusion of different LDA methods …

In this paper, a method of Gabor plus improved two-dimensional linear discriminant (Gabor+
12DLDA) which is a improved 2DLDA method by integrating the Gabor wavelet …