Optimum Fusion Rules for Multimodal Biometric Systems
نویسندگان
چکیده
This chapter discusses a multimodal biometric sensor fusion approach for controlling building access. A Bayesian framework is implemented fusing the decisions received from multiple biometric sensors and achieving the desired system accuracy. The optimal rule is a function of the error cost and a priori probability of an intruder. The chapter presents and then analyzes a Bayesian framework for optimal rule formation that supports a system that adaptively increases or reduces the security level as well as addressing unique user needs. The combination of additional biometric modes and variable error costs provide the system with enough adaptability to improve system acceptability.
منابع مشابه
Comments on "An Adaptive Multimodal Biometric Management Algorithm"
We note that there are some discrepancies in the results reported in the above titled paper. Our experiments indicate that the authors have considered only a subset of all possible fusion rules, contradicting the statement that all possible rules have been considered. Moreover, the authors state that only monotonic rules can be optimal and therefore all other rules can be ignored. However, our ...
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