Testing the Independence of Two Non-Stationary Random Processes with Applications to Biometric Authentication
Testing the Independence of Two Non-Stationary Random Processes with Applications to Biometric Authentication
复制标题
测试两个非平稳随机过程的独立性及其在生物识别认证中的应用
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
A. Vinck
中科院分区：
文献类型：
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作者：
V. Balakirsky;A. Ghazaryan;A. Vinck
给出了一种检验两个非平稳随机过程独立性的算法，该算法基于将两个非平稳随机过程的实现转化为其分量在集合{0，.。。、Q-1}。将该算法应用于生物特征认证问题带来了错误接受率，该错误接受率不依赖于模板空间上的概率分布，并且随着观察者可用的独立生物特征参数的数量而指数下降。
We present an algorithm for testing the independence of two non-stationary random processes, which is based on the transformation of realizations of the processes to q-ary vectors whose components are uniformly distributed over the set {0, . . . , q - 1}. An application of the algorithm to the biometric authentication problem brings the false acceptance rate that does not depend on the probability distribution over the templates space and exponentially decreases with the number of independent biometric parameters available to an observer.