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.
Index Terms—Palm vein recognition, Multimodal Biometrics, Feature subset selection, ASFFS, FAR, FRR
M. Deepamalar and M. Madheswaran are with Centre for Advanced Research, Electronics and Communication Engineering, Muthayammal Engineering College, Rasipuram – 637 408, India. Phone: 91-4287-226837; e-mail: madheswaran.dr@gmail.com
[PDF]
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.
