doi: 10.7763/IJCTE.2010.V2.182
An Improved Multimodal Palm Vein Recognition System Using Shape and Texture Features
,
M. Madheswaran
- Centre for Advanced Research, Electronics and Communication Engineering, Muthayammal Engineering College, Rasipuram – 637 408, India.
Abstract
Multimodal analysis of palm vein for biometric authentication has been carried out and presented in this paper. The proposed system is based on parallel mode multiple feature analysis and multilevel fusion. The directional information of the palm vein has been considered for better analysis. The developed multimodal palm vein recognition system has very low value of matching error rate and false acceptance or rejection rate.
Keywords
- Palm vein recognition
- Multimodal Biometrics
- Feature subset selection
- ASFFS
- FAR
- FRR
How to Cite
M. Deepamalar and M. Madheswaran, "An Improved Multimodal Palm Vein Recognition System Using Shape and Texture Features," International Journal of Computer Theory and Engineering, vol. 2, no. 3, pp. 436-444, 2010. https://doi.org/10.7763/IJCTE.2010.V2.182
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).