A single sensor hand biometric multimodal system

Nowadays the question of identifying a person assumes a major role in many applications. To circumvent the limitations of traditional identity recognition mechanisms (e.g., passwords or ID cards), modern security control procedures often exploit people biometrics. This paper proposes a multimodal biometric system for personal recognition, based on three different biometrics computed from the same hand image. Features extracted from each of the five finger surface areas are fused at score level into a single biometric mode. Hand geometry, palmprint and finger surface biometric features are finally fused at decision level to come to a recognition decision. The achieved recognition results of FAR=0.31%, FRR=0.80% and a maximum recognition rate of 98.28% indicate that this work should be continued and might be considered for high security applications.