Biometrics is a scientific technology to recognize a person using their physical, behavior or chemical attributes. A system that uses asingle source of biometric information (e.

g. , single fingerprint) to recognize people is known as unimodal system.

Whereas, the system that consolidates data from multiple biometric sources of information (e. g.

, face and fingerprint) is called multibiometrics system. that can alleviate the error rates and some inherent weaknesses of uni-biometrics.

In this work, a novel scheme for score-level fusion based on weighted quasi-arithmetic mean (WQAM) has been proposed. Specifically, WQAMs are estimated via different trigonometric functions.

The proposed fusion scheme encompasses properties of both weighted mean and quasi-arithmetic mean. Experimental results on three publicly available data sets for multi-modal,multi-unit and multi-algorithm systems show that presented WQAM fusion algorithm outperforms the previously previously proposed score fusion rules.

In addition, a palm and wrist vein-based multi biometric system based on triangular norms is proposed. .