IRIS RECOGNITION ON HADOOP:A BIOMETRICS SYSTEM IMPLEMENTATION ON CLOUD COMPUTING

被引：0
|
作者：
Shelly [1 ]
Raghava, N. S. [1 ]
机构：
[1] Delhi Technol Univ, Dept Informat Technol, Delhi, India
来源：
2011 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS | 2011年
关键词：
Iris Recognition; cloud computing; Hadoop; HDFS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：482 / 485
页数：4
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