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 …

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 …

To obtain affluent features of the palmprint image, the weighted fusion method of Discrete
Multiwavelet Transform (DMWT) features and Local Binary Pattern (LBP) features is …

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 …

According to the fact that the basic features of a palmprint, including principal lines, wrinkles
and ridges, have different resolutions, in this paper we analyze palmprints using a multi …

Palmprint recognition has drawn a lot of attentions during recent years. Different features
and algorithms have been proposed for palmprint recognition in the past such as Gabor …

Wavelets are widely used to extract the texture features for pattern recognition applications
including biometric authentication. This can be attributed to the discriminating capability of …

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 …

Human palm print is a wide spreading biometric characteristic that has been used to detect
an individual identity. In this paper, hybrid Discrete Wavelet Transform-Discrete Cosine …

During the last decade, palmprint recognition has received an increasing attention due to
the abundant features that can be extracted from the captured palmprint image. However, a …