Novel cryptographic algorithm based fusion of multimodal biometrics authentication system

Currently Security for every organization is a bigger challenge. Conventional security systems have lot of drawbacks that need to be addressed. The use of Biometrics in security systems is current trend. We propose a framework of fusion and encryption of multimodal biometrics authentication system. In this two Unimodal traits Iris and Fingerprint is used collectively for generation of secure cryptographic template. The process is categorized into three modules 1) Pre-processing of acquired iris and fingerprint, 2) Extraction of discriminable Features, 3) cryptographic Multimodal biometric template generation. Initially, the preprocessing are perform separately for iris and fingerprint. Followed by the minutiae point's extraction from Fingerprint, which includes termination, bifurcation, and angle of orientation of each point respectively. Subsequently, the iris features are extracted using wavelet transform. Then feature level fusion is performed. Finally, a 120bit secure cryptographic template is generated from the multi-biometric template. We test our results on standard iris CASIA database and the real Fingerprint captured in our own college. The several experimental results demonstrate the effectiveness of the proposed approach. Also the security of biometric template is improved with the help of encryption.