A Younesi, MC Amirani - Procedia Computer Science, 2017 - Elsevier
In this paper, we propose an efficient personal identification system based on palmprint recognition. Palmprint is widely used in biometric-based identification system. Palmprint is …
Over the past two decades, several studies have paid great attention to biometric palmprint recognition. Recently, most methods in literature adopted deep learning due to their high …
D Hong, J Su, Q Hong, Z Pan, G Wang - PLoS One, 2014 - journals.plos.org
As palmprints are captured using non-contact devices, image blur is inevitably generated because of the defocused status. This degrades the recognition performance of the system …
X Pan, QQ Ruan - Image and Vision Computing, 2008 - Elsevier
Recently, two-dimensional locality preserving projections (2DLPP) was proposed to extract features directly from image matrices based on locality preserving criterion. Though 2DLPP …
Q Zhou, W Jia, Y Yu - Chinese Conference on Biometric Recognition, 2022 - Springer
In recent years, researchers have carried out palmprint recognition study based on deep learning, and proposed a variety of methods based on deep learning. In these methods …
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 …
J Guo, H Chen, Y Li - J. Softw., 2014 - jsoftware.us
A new palmprint recognition method based on local Fisher discriminant analysis (LFDA) is proposed. In order to solve the singularity of the eigenvalue equation matrix in small-size …
R Raghavendra, C Busch - EURASIP Journal on Information Security, 2015 - Springer
Palmprint is a widely used biometric trait deployed in various access-control applications due to its convenience in use, reliability, and low cost. In this paper, we propose a novel …