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 …

In this paper, a novel method using wavelet decomposition and 2D Principal component
analysis (2DPCA) for palmprint recognition is presented. Firstly, 2D wavelet transform is …

Palmprint is important member of biometric family, different types of algorithms and system
have been proposed and great success has been achieved in Palmprint research, most of …

Palmprint recognition is a rapidly developing biometrics technology over the last decade.
However, there exist some typical problems when capturing palmprint images. First, the …

Palmprint technology is a new branch of biometrics used to identify an individual. Palmprint
has rich set of features like palm lines, wrinkles, minutiae points, texture, ridges, etc. Several …

Compared to the fruitful research outputs in 2D palm print recognition, the research in hyper
spectral palm print recognition is quite limited in literature. When 2D slices of hyper spectral …

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 …

Palmprint recognition has attracted various researchers in recent years due to its richness in
amount of features. In this work, palmprint authentication system is classified into palmprint …

As an emerging biometric technology, palmprint recognition technology has been
researched widely and developed rapidly, which is well known for its high verification …

Palmprint recognition has attracted various researchers in recent years due to its richness in
amount of features. In feature extraction, the single feature has become bottleneck in …