Leveraging the Cloud for Big Data Biometrics: Meeting the Performance Requirements of the Next Generation Biometric Systems

Edmund Kohlwey, Abel Sussman, J. Trost, Amber Maurer
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引用次数: 57

Abstract

This paper presents a prototype system for generalized searching of cloud-scale biometric data as well as an application of this system to the task of matching a collection of synthetic human iris images. First, we discuss growth trends in the biometric technology market that warrant the application of new data storage and retrieval technologies. Next, we discuss the considerations that motivated our decisions when designing our prototype framework. We then discuss the underlying open source components that we selected for the prototype, its API design, and the relationship between the API and the underlying architecture. We provide details of our implementation of human iris matching within our prototype framework. Finally, we discuss opportunities for future research.
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利用云实现大数据生物识别:满足下一代生物识别系统的性能要求
本文提出了一种云尺度生物特征数据广义搜索的原型系统,并将该系统应用于一组人工虹膜图像的匹配任务。首先,我们讨论了生物识别技术市场的增长趋势,这保证了新的数据存储和检索技术的应用。接下来,我们将讨论在设计原型框架时激励我们做出决定的考虑因素。然后讨论我们为原型选择的底层开源组件、它的API设计,以及API和底层体系结构之间的关系。我们提供了在原型框架内实现人类虹膜匹配的细节。最后,我们讨论了未来研究的机会。
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