Retina and Iris Based Multimodal Biometric Fuzzy Vault

authentication technology is gaining much importance as it serves as a powerful alternative for traditional password based authentication. In the current scenario securing the biometric template against attack is an important issue. Fuzzy vault is a proven biometric crypto system that is used to protect biometric templates and secret data. Multi biometric systems are more secure compared to their single biometric counterparts. In this work, fuzzy vault framework is used to secure both retina and iris template. Retina and iris can be used in high security applications like access control, military applications, border security control. The proposed multimodal fuzzy vault is constructed with feature points extracted from retina and iris. Combination of retina and iris enhances the user convenience as they can be captured from the user by the same device. This work measures the security of the resultant vault by using min-entropy.