In this paper, a novel method using wavelet decomposition and 2D Principal component
analysis (2DPCA) for palmprint recognition is presented. Firstly, 2D wavelet transform is …

Authentication through the palmprint is a field of biometrics. Palmprint-based personal
verification has quickly entered the biometric family. It has become increasingly popular in …

In this paper, a method for palmprint recognition, kernel Fisher discriminant analysis (KFDA),
is proposed. The method introduces KFDA to represent palmprint features for palmprint …

Palmprint is a novel biometric method to identify a person. Generally, there are two types of
features in palmprint: structural features and statistical features. Structural features, such as …

In this paper, a novel palmprint recognition approach is presented. A modified Discrete
Cosine Transform based feature extraction method is used to obtain palmprint features …

Biometric identification is an essential field in biometric security. The preprocessing of a
palmprint image is essential to the recognition performance. Most researchers use clear …

Palmprint recognition is physiological biometric method used for recognition of person. It
consists of various features like texture, statistical, line, point, geometry features which are …

In this paper, a novel method for palmprint recognition, called Fisherpalms, is proposed. In
this method, each pixel of a palmprint image is considered as a coordinate in a high …

In this paper we propose palmprint recognition technique by using a fusion of local and
global information extracted from palmprint image. Local information are extracted using …

Local binary pattern (LBP) is a powerful texture descriptor that is gray-scale and rotation
invariant according to T. Ojala et al.(2002). Because texture is one of the most clearly …