Journal of Jilin University (Information Science Edition) ›› 2019, Vol. 37 ›› Issue (4): 450-456.
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XUE Jian1,ZU Yang1,CEN Dan2
Online:
Published:
Abstract: Because most university libraries still use traditional lending system ssuch as readers' card and all in one-card,an intelligent face recognition lending system based on cloud computing is proposed. Compared with the face recognition system that finishes by computing in local devices,which has the shortcomings of slow operation and limited storage resources,this system adopts a cloud platform with high performance computing power and massive storage capacity. Uploads the collected face information to the cloud platform by collecting face data,and the cloud platform uses binarization,light compensation,gray change,contrast enhancement and other methods to save and back up the face features information. When scanning the face is tested,the face information is uploaded to the cloud and compared with the backup information for identification. The test results show that the intelligent face recognition lending system based on cloud computing has better accuracy,real-time and stability,which reduces the burden and cost of local storage,and it can better meet a need of user's intelligent lending.
Key words: cloud computing, face recognition technology, book lending system
CLC Number:
XUE Jian, ZU Yang, CEN Dan. Research on Intelligent Face Recognition Lending System Based on Cloud Computing[J].Journal of Jilin University (Information Science Edition), 2019, 37(4): 450-456.
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URL: http://xuebao.jlu.edu.cn/xxb/EN/
http://xuebao.jlu.edu.cn/xxb/EN/Y2019/V37/I4/450
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