This paper introduces a generalized palmprint identification framework to unify several state-
of-art 2D and 3D palmprint methods. Through this framework, we argue that the methods …

In this letter, a novel modular neural network (MNN) classifier, which partitions a K-class
problem into many much easier two-class problems in sub-subspaces, was proposed to …

Image alignment is an important step in various biometric authentication applications such
as palmprint recognition. Most of the existing palmprint alignment methods make use of …

Biometric identification is an essential field in biometric security. The preprocessing of a
palmprint image is essential to the recognition performance. Most researchers use clear …

Palmprint identification refers to searching in a database for the palmprint template, which is
from the same palm as a given palmprint input. The identification process involves …

There are increasing requirements for mobile personal identification, eg to protect identity
theft in wireless applications. Based on built-in cameras of mobile devices, palmprint images …

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 …

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

Palmprint contains stable and effective features, especially the orientation and scale
features of palm lines, and has now become an important identity recognition technique for …

Palmprint identification system commonly stores multiple templates for each subject to
improve the identification accuracy. The system then recognizes a query palmprint image by …