In on-line palmprint recognition tasks, texture based feature extraction methods are widely
adopted for palmprint representation, owing to their high performance. Gabor filter bank is …

In the paper, we combine the Local Binary Pattern Histogram (LBPH) approach with Dual-
Tree Complex Wavelet Transform (DT-CWT) to propose a new method, DT-CWT based …

This paper presents a novel approach of palmprint texture analysis based on the derivative
of Gaussian filter. In this approach, the palmprint image is respectively preprocessed along …

Proposed work aims to explore the discrimination capability of palmprint using Binary
Wavelet Transform (BWT). As BWT transform is able to cluster the energy corresponding the …

Palmprint recognition is an active member of biometrics in recent years. State-of-the-art
algorithms of palmprint recognition describe appearances of palmprints efficiently through …

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 …

Recently, personal identification, which is based on the palmprint texture features analysis,
has widely attracted the attention of several researchers and has gained a great popularity …

Compared with the Palm line structure features, extraction and description of palm print
texture features are easier. But, with the increase in the number of palmprint samples, these …

In this paper, a new texture feature set based on M-band wavelet analysis is proposed for
online palmprint identification. First, the central part of a palm was decomposed by M-band …

This paper presents a novel palmprint recognition method using Gabor wavelets and 2-
Dimensional Principal Component Analysis (2-DPCA) and PCA. Different from the Gabor …