Abstract

Biometric technologies are automated methods for measuring and analyzing biological data extracting a feature set from acquired data and comparing this set against to the templates set in the database Unimodal biometric system have variety of problems such as noisy data spool attacks etc Multimodal biometrics refers the combination of two or more biometric modalities in a single identification Most biometric verification systems are done based on knowledge base and token based identification these are prone to fraud Biometric authentication employs unique combinations ofmeasurable physical characteristics- fingerprint facial features iris of the eye voice print and so on- that cannot be readily imitated or forged by others This paper discuss the various scenarios that are possible in multi model biometric system the level of fusion that are plausible and the integration strategic that can be adopted to consolidate information Fusion methods include processing biometric madalitics sequential until an acceptable match is obtained