DATA LEVEL FUSION FOR MULTI BIOMETRIC SYSTEM USING FACE AND FINGER

Abstract

In this work, most commonly used and accepted biometrics face and finger are used for data level fusion. Multi biometric systems are expected to improve population coverage, reduce spoofing and be resilient to fault tolerance of different mono modal biometric systems. This system is designed for access control system requires more security such as allow to access important data, it is the false acceptance rate that is major concern in such applications. We do not want to access the data even the risk of manually examining a large number of potential matches identified by the biometric system.