Multi-Biometric Cryptosystem on Fusion Level Distinctiveness
Multi-biometric systems are being increasingly deployed in many large biometric applications, because they have several advantages such as lower error rates. Multi-biometric systems require storage of multiple biometric templates (e.g., fingerprint, iris and face) for each user, which results in increased user privacy and system security. The features of fingerprint, iris and face are obtained. The features are compared with database and values are generated. These templates are protected from attackers using two biometric cryptosystems such as fuzzy vault and fuzzy commitment and matching performance is done.