Template security scheme for multimodal biometrics using data fusion technique

Abstract

The emerging demand of biometric technology across the globe has given rise to the development of various biometric systems involving multiple traits. The multimodal biometric authentication systems are considered to be more precise and protected as compared to unimodal systems. But when it comes to the stolen or hacked biometric template, even the best designed multi-biometric structure fails to prevent an intruder's entry in the system. In today's digital era where biometric systems are being used for security and access control due to their uniqueness, there is a must to ensure production of highly protected template. This research work proposes fused multimodal principal component (FMPC) method to generate a secure template by using data fusion technique for three biometric traits-face, palmprint and ear. The security of the template is tested by implementing various attacks. A feedback routine is instigated to sense and prevent worst case attacks like noise. The proposed method yields promising results.