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Multiple-sample fusion of matching scores in biometric systems

机译:生物识别系统中匹配分数的多个样本融合

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If a biometric matching attempt does not succeed, the person might be asked to repeat authentication attempt second time. In such situations, the biometric system has acquired two test templates, and could construct a combined matching score, for example, by averaging two scores from the matches between these templates and the enrolled template. This paper investigates the enhancement of combination algorithm performance by utilizing the third score — the matching score between the two test templates. Two kinds of combination strategies are considered, linear combination and likelihood ratio. The results show, that using the scores between test templates can improve the performance of both linear and likelihood ratio combination methods. We illustrate the theory by experiments performed on four FVC2002 fingerprint databases.
机译:如果生物识别匹配尝试没有成功,则可能会要求该人员重复验证尝试第二次。 在这种情况下,生物识别系统已经获取了两个测试模板,并且可以通过平均来自这些模板和登记模板之间的匹配的匹配来构造组合的匹配分数。 本文通过利用第三分 - 两个测试模板之间的匹配分数来调查组合算法性能的增强。 考虑两种组合策略,线性组合和似然比。 结果表明,使用测试模板之间的分数可以提高线性和似然比组合方法的性能。 我们通过在四个FVC2002指纹数据库上进行的实验说明了理论。

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