Face and Palmprint Multi-Modal Biometric Recognition Based on Feature Level Fusion
Now-a-days, security becomes a most important issue regarding a spoof attack. So, multimodal biometrics technology has attracted substantial interest for its highest user acceptance, high security, high accuracy, low spoof attack and high recognition performance in biometric recognition system. This multimodal biometrics system introduces recognition of person from two things i.e. face & palm print. Principal Component Analysis (PCA) algorithm is used for reduction of dimension & extraction of features in terms of eigenvalues & eigenvectors.