  Robustness of embedded biometric systems is of prime importance with the
emergence of fourth generation communication devices and advancement in
security systems This paper presents the realization of such technologies which
demands reliable and error-free biometric identity verification systems. High
dimensional patterns are not permitted due to eigen-decomposition in high
dimensional image space and degeneration of scattering matrices in small size
sample. Generalization, dimensionality reduction and maximizing the margins are
controlled by minimizing weight vectors. Results show good pattern by
multimodal biometric system proposed in this paper. This paper is aimed at
investigating a biometric identity system using Principal Component Analysis
and Lindear Discriminant Analysis with K-Nearest Neighbor and implementing such
system in real-time using SignalWAVE.
