Sentence examples for multimodal biometric systems from inspiring English sources

In this work, three different design frameworks for multimodal biometric systems based on fingerprint and hand geometry modalities are proposed.

We also discuss how to evaluate the BSE of a biometric system and show experimental evaluation of the BSE of face, fingerprint and multimodal biometric systems.

Recognition experiments on identical twins in 2010 [14] showed that the multimodal biometric systems which combine different instances of the the same biometric traits lead to perfect matching compared with the unimodal systems.

Multimodal biometric systems are developed to address few of the limitations of unibiometric systems and works on the principle of using more than one biometric trait for human recognition.

However, in general, multimodal biometric systems require multiple sensors, which result in high developmental costs.

Unlike typical multimodal biometric systems using physical information, the proposed system utilized gesture video signals combined with facial images.

Jain et al. examined the effect of different score normalization techniques on the performance of the multimodal biometric system [13].

It has been demonstrated that a multimodal biometric system provides a higher level of authentication assurance, but needs more computational resources than a unimodal biometric system.

I. G. Damousis et al. discuss the design of a multimodal biometric system which was carried out in the framework of a European project.

Template may be well secured at feature level fusion of a multimodal biometric system and results into overall cost effective design.

It is also noticed that template security before storage into database is an important parameter for effective and efficient design of a multimodal biometric system.