Iris recognition on Hadoop: A biometrics system implementation on cloud computing

Shelly, N. S. Raghava
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引用次数: 38

Abstract

Cloud computing is one of the highly researched areas today, with an objective of taking advantage of various computational resources. In this paper we have used cloud computing environment with the aim to speed up the matching process of biometric traits. We have used iris recognition, a biometric technique, as it is one of the strongest method of authentication. Also Iris recognition is stable over time. We have used Hadoop [1], an open source cloud computing environment, to develop this model. Hadoop implements Map/Reduce [1] framework in Java. Map/Reduce make easy to process large amount of data on cloud. The results shows that there is an effective speedup and efficiency gain of Iris template matching on Hadoop process over sequential process.
基于Hadoop的虹膜识别:一种基于云计算的生物识别系统实现
云计算是当今高度研究的领域之一,其目标是利用各种计算资源。本文利用云计算环境来加快生物特征的匹配过程。我们使用了生物识别技术虹膜识别,因为它是最强大的身份验证方法之一。此外,虹膜识别随着时间的推移是稳定的。我们使用开源云计算环境Hadoop[1]来开发这个模型。Hadoop在Java中实现了Map/Reduce[1]框架。Map/Reduce使得在云上处理大量数据变得容易。结果表明,在Hadoop进程上进行虹膜模板匹配比顺序过程有有效的加速和效率提升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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