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Towards optimised implementations of multimodal biometric configurations

机译:朝多式化生物识别配置的优化实现

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Multimodal biometric solutions can provide increased reliability and robustness in many applications where identity verification is important, and especially so in highly interactive scenarios such as those represented by internet based transactions. Yet multimodal configurations increase complexity and raise questions about the need for effective system optimisation. This paper describes an approach that uses genetic algorithms to evolve efficient configurations in such applications, and shows how such structures can be embedded within a broader implementation framework, which is especially suited to supporting typical transactions.
机译:多模式生物识别解决方案可以在许多应用程序中提供更高的可靠性和鲁棒性,其中识别验证是重要的,尤其如此在高度交互式场景中,例如由基于Internet的交易所代表的那些。然而,多模式配置增加了复杂性并提出了关于有效系统优化需求的问题。本文介绍了一种使用遗传算法在这种应用中发展有效配置的方法,并示出了这种结构如何嵌入更广泛的实现框架中,这尤其适用于支持典型事务。

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