Using Data Fusion for Biometric Verification
Source: California State University
A wide spectrum of systems require reliable personal recognition schemes to either confirm or determine the identity of an individual person. This paper considers multimodal biometric system and their applicability to access control, authentication and security applications. Strategies for feature extraction and sensor fusion are considered and contrasted. Issues related to performance assessment, deployment and standardization are discussed. Finally future directions of biometric systems development are discussed. Biometric recognition refers to the automatic recognition of individuals based on their physiological and behavioral characteristics.