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Workload characteristics for iris matching algorithm: A case study
2013
2013 IEEE International Conference on Technologies for Homeland Security (HST)
With the rapidly expanded biometric data collected by various sectors of government and industry for identification and verification purposes, how to manage and process such Big Data draws great concern. Even though modern processors are equipped with more cores and memory capacity, it still requires careful design in order to utilize the hardware resource effectively and the power consumption efficiently. This research addresses this issue by investigating the workload characteristics of
doi:10.1109/ths.2013.6699078
fatcat:pmeztkudlnginbmgtlempzsmxi