Multimodal biometric systems imitate the unification of two or more unimodal biometric systems. Such systems are predicted to be more sound due to the residence of multiple independent pieces of evidence. Hence they sign in at unparallel levels of security. This study proposes a blending of multimodal fingerprint and Iris recognition technique. The task is two section composition first is feature extraction from both the modalities and then feature level fusion of the extracted features and finally applying a encryption technique to the fused output.