AN OVERVIEW OF MULTIMODAL BIOMETRICS

Confidentiality is very important for every organization. Now a days, Biometric technologies have became a foundation for identification and personal verification. Biometric refers to technologies that measure and analyze the physiological characteristics of a human body for verification or identification. Most Biometrics are unimodal, Which rely on single source of information for authentication. But these systems are facing variety of problems such as Noise in sensed data, Non-universality, Spoof attacks, Distinctiveness. To overcome these drawbacks a new research area multimodal biometrics is emerged. Multimodal biometric systems consist of combining two or more biometric modalities in a single identification system. As multimodal biometric systems depend on multiple sources of information, these are categorized into six classes like Multi sensor systems, Multi algorithm systems, Multi instance systems, Multi sample systems, Multi modal systems and Hybrid systems. The various levels of fusion are also discussed in this paper.

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