Multimodal biometrics is often used as it solves the issues of unimodal biometrics like non-
universality, noisy data and security. Face and palmprint of a person do not change easily …

Multimodal biometrics has recently attracted substantial interest for its high performance in
biometric recognition system. In this paper we introduce multimodal biometrics for face and …

The information fusion of face and palmprint biometrics using local features is investigated at
feature level. The proposed method uses local information extracted from local region of …

In this paper, we propose multimodal biometric feature fusion using alternating
concatenation of DCT coefficients exist in face and plamprint images. Discrete cosine …

Multimodal biometric identification technique utilizes two or more individual modalities to
improve the identification accuracy and overcome some problems existing in conventional …

Recent years have witnessed researchers paying enormous attention to design efficient
multi-modal biometric systems because of their ability to withstand spoof attacks. Single …

This paper reviews several information fusion techniques and strategies in the application of
multimodal biometrics system using face and palmprint images. Multimodal biometric is able …

Bit-plane decomposition approach has been introduced\ate\y for single trait biometric
system such as face, palmprint, and fingerprint recognition. This approach is able to provide …

Biometrics refers to a scientific discipline which involves automatic methods for recognizing
people based on their physiological or behavioural characteristics. Biometric systems that …

This paper presents a multimodal biometric recognition system integrating palmprint,
fingerprint and face based on score level fusion. The feature vectors are extracted …