Face and Iris biometrics are amongst the studied unimodal systems by researchers over the
past years due to their ease of acquisition and accuracy, respectively, during the recognition …

A high performance face-iris multimodal biometric system based on score level fusion
techniques is presented in this paper. The aim of multimodal biometric systems is to improve …

Biometric authentication has become a popular and required approach to increase
dynamism and security of shared information or place. But single modality fails to fulfill the …

In this paper, a new approach based on score level fusion is presented to obtain a robust
recognition system by concatenating face and iris scores of several standard classifiers. The …

Multi-biometrics has recently emerged as a mean of more robust and efficient personal
verification and identification. Exploiting information from multiple sources at various levels …

This paper presents a trimodal biometric recognition system based on iris, palmprint and
fingerprint. Wavelet transform and Gabor filter are used to extract features in different scales …

The multimodal biometric systems make use of two or more modalities that together achieve
much higher performances to overcome the defects of the unimodal biometric system …

In this paper, we have developed an algorithm which combines features from human iris and
face for person verification. Iris recognition is one of the most accurate biometric modalities …

The iris and face are among the most promising biometric traits that can accurately identify a
person because their unique textures can be swiftly extracted during the recognition …

Fusion of multiple biometrics combines the strengths of unimodal biometrics to achieve
improved recognition accuracy. In this study, face and iris biometrics are used to obtain a …