Palm-print recognition has been investigated over many decades. Palm-print recognition
has many phases in which region mapping and feature extraction play an important role. In …

In this paper, unique features of the segmented image samples are extracted by using two
major feature extraction techniques: Local Binary Pattern (LBP) and Histogram of Oriented …

In the biometrics research area, palmprint recognition system is gaining the most popularity.
Significant performances have been achieved in the state-of-the-art palmprint recognition …

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 …

This article proposes robust features fusion methodology for supervised palmprint
recognition. The process of features fusion has been formulated according to the …

In this paper a new graph based approach referred to as Fisher Locality Preserving
Projections (FLPP) is proposed for efficient palmprint recognition. The technique employs …

The palmprint recognition methods can be categorized as the feature-based methods and
the appearance-based methods. The conventional appearance-based representation …

In this paper, a new Palmprint recognition technique is introduced based on the gray-level
co-occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the …

In this paper, a new Palmprint recognition technique is introduced based on the gray-level
co-occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the …

Palm-print recognition system is extensively deployed in a variety of applications, ranging
from forensic to mobile phones. This paper proposes a new feature extraction technique for …