Processing Large Volume of Biometric Data in the Hadoop Single Cluster Node Environment

American journal of applied sciences

Vaithiyashankar, Jayakumar¹ 

关键词: Computer Vision;    Face Recognition;    Personal Identification;    Distributed Computing;    Cloud Computing;    Biometrics;   

DOI  :  10.3844/ajassp.2017.1075.1080

学科分类：自然科学（综合）

来源: Science Publications

【 摘 要 】

In big data evolution, the analysis of large scale data and scrutinizing the required vital information becomes very demanding task. The emerging cloud platform promises and gives hope in handling the enormous volume of data. Hence, a new kind of methodology is required to tap the full potential of leveraging the big data analytics over the biometric data. In this work, we are going to deal with the integration of Hadoop, a map reduce framework with the infamous powerful computer vision library tool, Opencv. The proposed setup will comparatively analyze the large set of biometric data; such as face over the pseudo distributed environment. We test the capacity of our methodology with a different data set and analyze various computational parameters. The results show the proposed method is applicable for dealing in the real distributed environment. .

【 授权许可】

CC BY