AUTHORIZING ONLINE SECURITY SCHEME OVER OUTSOURCED DATA

Abstract

With the widespread research of biometric identification schemes, the user data itself has an important security issue. This is because of the data is not replaceable and is not secret. Variety of security problems are available in Mono modal biometric system. In order to overcome these problems, an additional layer of security is needed. In this project we can implement privacy based Multimodal biometric system to improve the authentication system with higher security. The Multimodal biometric include the fingerprint and Sclera features. The features of fingerprint include minutia and ridge values and then detect the sclera parts from eye images. After that encrypt the features of the fingerprint and sclera, details are stored as a template. Finally, match the features using a Euclidean distance algorithm to improve the accuracy. Experimental results shows that proposed system, improve security than the  unimodal system.