This paper presents a novel approach of palmprint authentication by matching the
orientation code. In this approach, each point on a palmprint is assigned a orientation. And …

Personal recognition systems have emerged as highly important in the information society.
Biometric systems are widely used because its reliability in distinguishing between the …

Two-dimensional principal component analysis (2DPCA) is a novel image representation
approach recently developed for image recognition. One characteristic of 2DPCA is that it …

Efficient feature extraction strategies play an important role in palmprint recognition systems.
Among various feature extraction methods, orientation methods such as Competitive Code …

Computational intelligence (CI) technologies are robust, can be successfully applied to
complex problems, are efficiently adaptive, and usually have a parallel computational …

Over the past two decades, researchers in the field of biometrics have presented a wide
variety of coding-based palmprint recognition methods. These approaches mainly rely on …

This paper presents an innovative contactless palm print and palm vein recognition system.
We design a hand sensor that could capture the palm print and palm vein image using low …

We propose an equalizer that attempts to improve the perceived speech quality of bone-
conducted speech input with ear-insert microphones, which can provide clean speech input …

In this paper we present an overview of the fundamentals of personal authentication based
on handgeometry measurements and palmprint features. Unimodal and multimodal hand …

An enhanced Gabor-based region covariance matrices (EGRCM) method for palmprint
recognition is proposed. Motivated by the fact that both the Gabor magnitude (GM) and the …