Human Identification Using Normalized Energy Based Spectrum Eigenpalms


Abstract:Biometrics, is defined as the since of Human recognition based on his/her physical or behavioral traits, is beginning to used as Human added computer method for determining an individual’s identity. The human hand presents the sorce for a numerous of physiological biometric features. Palmprint, hand geometry, finger geometry and the vein pattern on the dorsum of the hand, are mostly used in many fields for different applications. Lines and points are extracted from palms for individual identification in original image or frequency space. In this paper, the normalized energy based spectral eigenpalms is used for human identification. The correlation distance is used as a similarity measure. A threshold value is used to prevent the imposter form being identified. The experimental results point up the effectiveness of the method in varying noisy types.