International Journal of Engineering and Technology
Unimodal biometric systems rely on a single source of biometric trait information for recognition of individuals. These systems are highly vulnerable to spoof attacks as imposters easily imitate the particular biometric trait of any genuine user. The impact of circumvention is reduced by combining the functions of different unimodal biometric systems to perform as a multi-biometric system. The multimodal biometric systems operate in two or more ways to authenticate individuals by their biometric traits. This paper proposes a multimodal biometric security model for efficient authentication.