Neuro-Fuzzy Logic Decision in a Multimodal Biometrics Fusion System

Verification using biometrics has become in the last few years a key issue in security and privacy. Intensive search is being focusing on improving verification performance and quality by fusing multi biometric modalities. Several fusion techniques have been proposed in the current literature. This paper proposes hybrid artificial intelligent tools such as neuro-fuzzy systems for their powerful capabilities of learning and fuzzy expression to insure high quality of verification through multi-modal biometrics fusion. Experimental investigation under various data conditions reveals outstanding results over existing fusion techniques.