Assessing Fingerprint Individuality Using EPIC: A Case Study in the Analysis of Spatially Dependent Marked Processes
Assessing Fingerprint Individuality Using EPIC: A Case Study in the Analysis of Spatially Dependent Marked Processes
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DOI：
10.1198/tech.2011.09088
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发表时间：
2011-05
期刊：
影响因子：
2.5
通讯作者：
C. Lim;S. Dass
中科院分区：
文献类型：
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作者：
C. Lim;S. Dass
指纹个体性是指指纹的独特性程度，并由指纹特征（称为细节点）在人群中的分布所决定。本文提出了一种灵活的细节点标记点处理方法，并提出了相应的指纹个体性评价方法。推理是在贝叶斯MCMC框架中进行的。使用真实的指纹验证了该模型对不同细节点模式的适应性。证据的一对冒名顶替者对应关系（EPIC）开发的指纹个性和它的价值是使用模拟程序的基础上拟合模型。这篇文章在网上有补充材料。
Fingerprint individuality refers to the extent of uniqueness of fingerprints and is governed by the distribution of fingerprint features, termed minutiae, in a population. This article develops a flexible class of marked point processes for minutiae and associated methodology for assessing fingerprint individuality. Inference is carried out in a Bayesian MCMC framework. The flexibility of the model fit to different kinds of minutiae patterns is demonstrated using real fingerprints. Evidence of a Paired Impostor Correspondence (EPIC) is developed as a measure of fingerprint individuality and its value is obtained using a simulation procedure based on the fitted models. This article has supplementary material online.