This paper employs both two-dimensional (2D) and three-dimensional (3D) features of
palmprint for recognition. While 2D palmprint image contains plenty of texture information …

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

A feature extraction method of palmprint recognition based on Two-Dimensional Principal
Component Analysis (2DPCA) is proposed in this work. A series of experiments were …

Palmprint has proved to be one of the most unique and stable biometric characteristics.
Almost all the current palmprint recognition techniques capture the 2-D image of the palm …

Different palmprint recognition methods have different advantages. The texture-and feature-
based palmprint recognition methods can well exploit the minutiae of the palmprint but are …

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 …

Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …

2-D palmprint has been recognized as an effective biometric identifier in the past decade.
Recently, 3-D palmprint recognition was proposed to further improve the performance of …

Palmprints have been broadly used for personal authentication because they are highly
accurate and incur low cost. Most previous works have focused on two-dimensional (2-D) …

Computer-aided personal recognition is becoming increasingly important in our information
society. Human palmprint recognition has become an active area of research over the last …