Authentication System

Information Technology

Multi-biometrics refers to the use of multiple sources of biometric information in order to establish the identity of an individual. Multi-biometric systems combine the biometric evidence offered by multiple biometric sensors (e.g., 2D and 3D face sensors), algorithms (e.g., minutia-based and ridge-based fingerprint matchers), samples (e.g., frontal and pro- file face images), units (e.g., left and right irises), or traits (e.g., face and iris) to enhance the recognition accuracy of a biometric system. Information fusion can be accomplished at several different levels in a biometric system, including the sensor-level, feature- level, score-level, rank-level, or decision-level. The challenge is to design an effective fusion scheme to consolidate the multiple pieces of evidence to generate a decision about an individual’s identity.

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