Biometrics-based personal identification is regarded as an effective method for automatically
recognizing, with a high confidence, a person's identity. This paper presents a new biometric …

There is increasing interest in the development of reliable, rapid and non-intrusive security
control systems. Among the many approaches, biometrics such as palmprints provide highly …

In this paper, a novel method for palmprint recognition, called Fisherpalms, is proposed. In
this method, each pixel of a palmprint image is considered as a coordinate in a high …

Recently, biometric palmprint has received wide attention from researchers. It is well-known
for several advantages such as stable line features, low-resolution imaging, low-cost …

The past decade has seen a rapid growth in the demand for biometric-based-thentication
solutions for a number of applications. With signi? cant advances in biometrictechnologyandanincreaseinthenu …

This paper proposes a novel algorithm for the automatic classification of low-resolution
palmprints. First the principal lines of the palm are defined using their position and thickness …

Latent palmprint identification is a crucial element for both law enforcement and integrated
automated fingerprint identification systems because approximately 30% of the imprints …

Local binary pattern (LBP) is a powerful texture descriptor that is gray-scale and rotation
invariant according to T. Ojala et al.(2002). Because texture is one of the most clearly …

We propose a palmprint classification algorithm with the use of multiple correlation filters per
class. Correlation filters are two-class classifiers that produce a sharp peak when filtering a …

Recently, biometrics-based personal identification is regarded as an effective method of
person's identity with recognition automation and high performance. In this paper, the …