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 …

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 …

The wavelet theory has become hot in the last few years for its important relative characters,
such as, subband coding, multiresolution analysis and filter banks. In this paper, we propose …

A novel method for palmprint recognition based on wavelet transform is presented in this
paper. Because palmprint's principal lines, wrinkles and ridges have characteristics of …

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 …

The palmprint recognition system has active research works over 15 years, which are
employed on different images resolution (High and Low). This paper shows the types of …

In this paper, we propose a novel palmprint verification approach based on principal lines. In
feature extraction stage, the modified finite Radon transform is proposed, which can extract …

This paper presents a novel approach for palmprint recognition based on the valley features.
This approach uses the Bothat operation to extract the valleys from a very low-resolution …

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

Palmprint identification is the means of recognizing an individual from the database using
his/her palmprint features. Palmprint is easy to capture, requires cheaper equipment and is …