Fusion Based Multimodal Biometric Cryptosystem

Security is main concern in Automated Teller Machines today. Multimodal Biometrics are more secure as compared to Unimodal Biometrics as even if one trait fails the other is present. The futuristic application of Multimodal Biometrics could be in Automated Teller Machines (ATM). The proposed work involves capturing of three biometric traits of a person namely face, fingerprint and palm vein by designed hardware later these are preprocessed and fused together for cryptography. Palm vein is chosen as a biometric trait as no two palm veins match unless they are of the same person also palm has a good vascular pattern making it a good identifying factor for an individual as compared to other biometric traits. Further security is achieved in the system by fusion of palm vein with face and fingerprint. Cryptosystem is used in order to get security. The images captured by the designed hardware are preprocessed using Image enhancement techniques and Features are extracted by Curvelet Transform, Gabor Filter and Principal Component analysis. The feature vectors are fused at feature level using Euclidean distance and later matched.