A feature-level fusion approach is proposed for improving the efficiency of palmprint
identification. Multiple Gabor filters are employed to extract the phase information on a …

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 today's world, biometrics system is used almost everywhere for the security and personal
recognition. The palmprint is one of the most reliable physiological characteristics that can …

Orientation features of the palmprint are usually used in palmprint recognition methods.
Conventional orientation based methods are always based on an assumption that the line in …

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 …

This paper presents a new approach for palmprint recognition using a combined Fisher
linear discriminant (FLD) and Gabor Wavelet responses. Gabor wavelets have properties of …

In the past years, deep convolutional neural networks (CNNs) have become extremely
popular in the computer vision and pattern recognition community. The computational power …

Palmprint recognition has been investigated over 10 years. During this period, many
different problems related to palmprint recognition have been addressed. This paper …

This paper investigates the feasibility of person identification based on feature points
extracted from palmprint images. Our approach first extracts a set of feature points along the …