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Combining Verification Decisions in a Multi-vendor Environment

机译:在多供应商环境中组合验证决策

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摘要

Building access control represents an important application for biometric verification but often requires greater accuracy than can be provided by a single verifier. Even as algorithms continue to improve, poor samples and environmental factors will continue to impact performance in the building environment. We aim to improve verification accuracy by combining decisions from multiple verifiers spread throughout a building. In particular, we combine verifiers along the path traced out by each subject. When combining these decisions, the assumption of conditional independence simplifies implementation but can potentially lead to suboptimal performance. Through empirical evaluation of two related algorithms, we show that the assumption of conditional independence does not significantly impact verification accuracy. We argue that such a small reduction in accuracy can be attributed to the relative accuracy of each verifier. As a result, decisions can be combined using low complexity fusion rules without concerns of degraded accuracy.
机译:建筑访问控制代表了生物特征验证的重要应用,但通常要求的准确性比单个验证者所提供的准确性更高。即使算法不断改进,不良的样本和环境因素也将继续影响建筑环境中的性能。我们旨在通过结合分布在整个建筑物中的多个验证者的决策来提高验证准确性。特别是,我们沿每个主题所追踪的路径组合验证程序。当组合这些决策时,条件独立的假设简化了实现,但可能导致性能欠佳。通过对两个相关算法的经验评估,我们表明条件独立性的假设不会显着影响验证准确性。我们认为,准确性的这么小的降低可以归因于每个验证者的相对准确性。结果,可以使用低复杂度融合规则来组合决策,而不必担心准确性降低。

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