使用美国国家标准与技术研究院(NIST)特殊数据库进行自动指纹识别系统(AFIS)基准测试

R. Khanna, W. Shen
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引用次数: 18

摘要

最近使用指纹匹配技术的产品数量的增长催生了对合适的评估方法的需求。我们提出了一套基于NIST特殊数据库4的基准测试来支持指纹匹配技术的评估。讨论了开发基准参数的方法和性能测量方法。与执法部门的成员制定了基准参数。观察和测量了通常影响指纹匹配算法性能的特征。由于这些特征和其他特征导致的匹配器性能变化表明,在比较算法性能时需要使用标准数据(NIST Special Database 4)。基准参数测量使用英国内政部HO-39指纹匹配算法和Sun SPARC 10提供。对基准测试结果的分析可以深入了解匹配器的性能。一个示例演示了如何使用基准测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated fingerprint identification system (AFIS) benchmarking using the National Institute of Standards and Technology (NIST) Special Database 4
The recent growth in the number of products that use fingerprint matching technology has spawned a need for appropriate evaluation methods. We propose a set of benchmarks based on NIST Special Database 4 to support the evaluation of fingerprint matching technology. The approach used to develop the benchmark parameters and performance measurement methods are discussed. Benchmark parameters were established with members of the law enforcement community. Characteristics that typically affect fingerprint matching algorithm performance are observed and measured. Variation of matcher performance due to these characteristics, and others, indicates a need for standard data (NIST Special Database 4) when comparing algorithm performance. Benchmark parameter measurements using the United Kingdom Home Office HO-39 fingerprint matching algorithm and a Sun SPARC 10 are provided. Analysis of benchmark results provides insight into matcher performance. An example demonstrates how the benchmarks may be used.<>
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