Multimodal Biometric Authentication System using Face and Fingerprint Features with Feature Level Fusion

Multimodal biometric is used for authentication of an individual a secure place. In the process of multimodal authentication different biometric traits have been used for authentication of an individual. The pursuits of knowledge on the diverse biometric system envisage single biometrics feature is not sufficient to provide secure authentication. This dictates the importance of multi-modal system. Most of the multi-modal techniques are lacking in security aspect. In this paper a multimodal recognition system approach has been purposed that has been utilized for recognition of individual based on multiple traits. in this paper LTP and minutia based approach has been used for feature extraction from face and finger images. These features have been fused using feature level fusion. This approach provides better accuracy than previous approaches