Human face recognition using eigenface in cloud computing environment

10th International Conference Numerical Analysis in Engineering

数学;工业技术

Siregar, S.T.M.^1 ; Syahputra, M.F.^1 ; Rahmat, R.F.^1

Department of Information Technology, Faculty of Computer Science and Information Technology, University of Sumatera Utara, Medan, Indonesia^1

关键词: Attendance systems;    Cloud computing environments;    Computing services;    Data centers;    Human face recognition;    Model formations;    Research and development;    Training data;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/308/1/012013/pdf
DOI  :  10.1088/1757-899X/308/1/012013

学科分类：工业工程学

来源: IOP

【 摘 要 】

Doing a face recognition for one single face does not take a long time to process, but if we implement attendance system or security system on companies that have many faces to be recognized, it will take a long time. Cloud computing is a computing service that is done not on a local device, but on an internet connected to a data center infrastructure. The system of cloud computing also provides a scalability solution where cloud computing can increase the resources needed when doing larger data processing. This research is done by applying eigenface while collecting data as training data is also done by using REST concept to provide resource, then server can process the data according to existing stages. After doing research and development of this application, it can be concluded by implementing Eigenface, recognizing face by applying REST concept as endpoint in giving or receiving related information to be used as a resource in doing model formation to do face recognition.