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Human users have a tough time remembering long cryptographic keys. Hence,researchers, for so long, have been examining ways to utilize biometricfeatures of the user instead of a memorable password or passphrase, in aneffort to generate strong and repeatable cryptographic keys. Our objective isto incorporate the volatility of the users biometric features into thegenerated key, so as to make the key unguessable to an attacker lackingsignificant knowledge of the users biometrics. We go one step further trying toincorporate multiple biometric modalities into cryptographic key generation soas to provide better security. In this article, we propose an efficientapproach based on multimodal biometrics (Iris and fingerprint) for generationof secure cryptographic key. The proposed approach is composed of three modulesnamely, 1) Feature extraction, 2) Multimodal biometric template generation and3) Cryptographic key generation. Initially, the features, minutiae points andtexture properties are extracted from the fingerprint and iris imagesrespectively. Subsequently, the extracted features are fused together at thefeature level to construct the multibiometric template. Finally, a 256bitsecure cryptographic key is generated from the multibiometric template. Forexperimentation, we have employed the fingerprint images obtained from publiclyavailable sources and the iris images from CASIA Iris Database. Theexperimental results demonstrate the effectiveness of the proposed approach.

Secured Cryptographic Key Generation From Multimodal Biometrics Feature Level Fusion Of Fingerprint And Iris