Phase-based image matching has shown high recognition accuracy in palmprint verification.
The algorithm compares a pair of palmprint images by extracting local phase features from …

Among various palmprint identification methods proposed in the literature, sparse
representation for classification (SRC) is very attractive offering high accuracy. Although …

This paper presents a palmprint recognition algorithm using principal component analysis
(PCA) of phase information in 2D (two-dimensional) discrete Fourier transforms (DFTs) of …

Biometrie data is utilized by governmental and institutional entities to ascertain the unique
identity of an individual. Palm print data, a significant element of biometric information, is …

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 …

Latent palmprints are integral to crime scene investigations, constituting a significant portion
of encountered prints. They often suffer from poor ridge impressions, noise, and pronounced …

In this paper, we propose a feature-level fusion approach for improving the efficiency of
palmprint identification. Multiple elliptical Gabor filters with different orientations are …

In recent years, palmprint recognition has made great progress and many methods have
been put forward. The extraction of robust orientation features and finding efficient matching …

Among various palmprint identification methods proposed in the literature, Sparse
Representation for Classification (SRC) is very attractive, offering high accuracy. Although …

Most of the existing techniques for palmprint recognition rely on metrics, typically based on
static functions, which evaluate the distance between a pair of features. In this paper, we …