This paper proposed the use of multimodal feature-level fusion to prove the improvement
performance of multimodal authentication. Different algorithm used for features extraction …

This paper proposed the use of multimodal score-level fusion as a means to improve the
performance of multimodal verification. Different algorithms have been used to extract the …

Recently, multimodal biometric systems have been widely accepted, which has shown
increased accuracy and population coverage, while reducing vulnerability to spoofing. The …

Multimodality is a promising trend to gain the reliability for biometrics. This paper presents a
novel multimodal biometric recognition with information fusion at feature level, called eigen …

This paper suggests the multimodal biometrics system for identity verification using two
traits: face and fingerprint. The proposed system is intended to use for the training database …

Biometric based authentication is playing a very important role in various security related
applications. A novel multimodal biometric verification based on fingerprint, palmprint and …

Fusion of multiple biometric modalities for human authentication performance improvement
has received considerable attention. This paper presents a robust multimodal biometric …

In this paper, a multimodal biometric identification system based on feature level fusion and
machine learning techniques is described. The significance of this study relates to the …

Multimodal systems integrate multiple sources of human information to ensure high level
security. Multimodal biometric systems increase the recognition rate of the biometric systems …

To achieve high reliability of biometric authentication using fusion of multimodal biometrics
in authentication systems is a novel approach. In this paper we propose a method for the …