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 …

Low resolution palmprint images consist of discriminative multisized and multidirectional
principal lines and wrinkles. Intuitively, discrete wavelet transform (DWT) is a good choice to …

Palmprint based personal verification has quickly entered the biometric family due to its
ease of acquisition, high user acceptance and reliability. This paper proposes a palm print …

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 …

Palmprint is one of the most useful physiological biometrics that can be used as a powerful
means in personal recognition systems. The major features of the palmprints are palm lines …

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 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 …

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 …

In this paper, we propose an efficient palmprint recognition scheme which has two features:
1) representation of palm images by two dimensional (2-D) wavelet subband coefficients …

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 …