As a reliable biometric characteristic, the palmprint recognition has recently represented an
emerging trend in the pattern recognition field. It is a human physiological feature that …

This paper proposes an efficient palmprint recognition method using locality preserving
projections (LPP) and extreme learning machine (ELM) neural network. Firstly, two …

In this paper, we have compared use of PCA (Principal components analysis) with two
powerful feature extraction techniques LDA (Linear discriminant analysis) GDA (Generalized …

The prevalence of smartphone and consumer camera has led to more evidence in the form
of digital images, which are mostly taken in uncontrolled and uncooperative environments …

Biometric authentication systems are widely applied because they offer inherent advantages
over classical knowledge-based and token-based personal-identification approaches. This …

This paper proposes hybrid approaches based on both feature level and score level fusion
strategies to provide a robust recognition system against the distortions of individual …

This paper proposes an efficient indexing scheme for palmprint-based identification system.
The proposed system uses geometric hashing of SURF key-points to index the palmprint …

Prevalence of Palm-Print Patterns and their Association with... : Journal of Pharmacy and
Bioallied Sciences Prevalence of Palm-Print Patterns and their Association with ABO Blood …

Background: Twins are similar in many ways owing to the genetical and environmental
factors. However, still, there are certain things that are not similar among them, and this is …

In the paper, we improve the Local Binary Pattern Histogram (LBPH) approach and combine
it with Dual-Tree Complex Wavelet Transform (DT-CWT) to propose a Dual-Tree Complex …