MULTISPECTRAL PALMPRINT RECOGNITION USING ANT COLONY OPTIMIZATION

Biometric authentication is an effective method for automatically recognizing a person's identity with high confidence in which feature extraction and classification are key considerations. Palm vein pattern biometric technology is a promising feature for use in forensic and access control application. It uses the unique patterns of palm veins to authenticate personals at a high level of accuracy. Our proposed work is to accommodate the rotational, potential deformations and translational changes by encoding the orientation conserving features. The proposed system analyses the palm-vein authentication on two different databases that are acquired with the contactless CASIA and touch-based imaging setup collected from PolyU palmprint database.