Palmprint directions have been proved to be one of the most effective features for palmprint recognition. However, most existing direction-based palmprint descriptors are hand-craft …
GKO Michael, T Connie, ABJ Teoh - Image and vision computing, 2008 - Elsevier
In this paper, we propose an innovative touch-less palm print recognition system. This project is motivated by the public's demand for non-invasive and hygienic biometric …
L Shang, DS Huang, JX Du, CH Zheng - Neurocomputing, 2006 - Elsevier
This paper proposes a novel and successful method for recognizing palmprint based on radial basis probabilistic neural network (RBPNN) proposed by us. The RBPNN is trained by …
D Hong, W Liu, J Su, Z Pan, G Wang - Neurocomputing, 2015 - Elsevier
Palmprint is one important biometric feature with uniqueness, stability and high distinguishability, and its study has attracted much attention in the past decades. Although …
Direction information serves as one of the most important features for palmprint recognition. In the past decade, many effective direction representation (DR)-based methods have been …
X Wu, Q Zhao, W Bu - Pattern recognition, 2014 - Elsevier
Palmprint recognition is a relatively new and effective biometric technology. Most of the traditional palmprint recognition methods are based on contact acquisition devices, which …
In this article, we propose a multifeature learning method to jointly learn compact multifeature codes (LCMFCs) for palmprint recognition with a single training sample per …
Biometric recognition can be used to improve gesture-based interfaces by automatically identifying operators. Traditional palm biometric recognition techniques depend on palm …
Although several palmprint representations have been proposed for personal authentication, there is little agreement on which palmprint representation can provide best …