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Enhancing performance and user convenience of multi-biometric verification systems

机译:增强多生物识别系统的性能和用户便利性

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A multi-biometric verification system lowers the verification errors by fusing information from multiple biometric sources. Information can be fused in parallel or serial modes. While parallel fusion gives a higher accuracy, it may suffer from a serious problem of taking a longer verification time. Serial fusion can alleviate this problem by allowing the users to submit a subset of the available biometric characteristics. Unfortunately, several studies show that serial fusion may not reach the level of accuracy of parallel fusion. In this paper, we propose a fusion framework which combines the advantages of both parallel and serial fusion. The core of the framework is a new concept of "confident reject region" which incurs nearly zero verification error. We evaluate our framework by performing experiments on two multi-biometric verification systems built with NIST biometric scores set release 1. The experimental results show that our framework achieves a lower equal error rate and takes a shorter verification time than standard parallel fusion.
机译:多生物识别验证系统通过熔化来自多个生物识别源的信息来降低验证错误。信息可以并行或串行模式融合。虽然并行融合给出了更高的准确性,但它可能遭受验证时间更长的严重问题。串行融合可以通过允许用户提交可用生物特征的子集来缓解此问题。不幸的是,一些研究表明,串行融合可能无法达到平行融合的准确性水平。在本文中,我们提出了一种融合框架,它结合了平行和串行融合的优点。框架的核心是“自信拒绝区域”的新概念,其突出了零验证误差。我们通过对使用NIST生物识别分数设置发布的两个多生物识别系统进行实验来评估我们的框架。实验结果表明,我们的框架达到了较低的相等错误率,并且比标准并行融合更短的验证时间。

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