吉林大学学报(信息科学版) ›› 2019, Vol. 37 ›› Issue (4): 450-456.

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基于云计算的智能人脸识别借阅系统研究

薛健1,祖央1,岑丹2   

  1. 1. 北京师范大学珠海分校图书馆,广东珠海519000; 2. 吉林大学图书馆,长春130012
  • 出版日期:2019-07-24 发布日期:2019-12-16
  • 作者简介:薛健( 1980— ) ,女,山东青岛人,北京师范大学图书馆馆员,硕士,主要从事软件工程学、图书馆学研究,( Tel) 86-13823072020( E-mail) xy123yx@163. com; 祖央( 1966— ) ,女,兰州人,北京师范大学图书馆副研究馆员,主要从事计算机学、图书馆学研究,( Tel) 86-15819455987( E-mail) 16910483@ qq. com。
  • 基金资助:
    珠海市社科联基金资助项目( 2017YB111)

Research on Intelligent Face Recognition Lending System Based on Cloud Computing

XUE Jian1,ZU Yang1,CEN Dan2   

  1. 1. Library,Beijing Normal University Zhuhai Campus,Zhuhai 519000,China; 2. Library,Jilin University,Changchun 130012,China
  • Online:2019-07-24 Published:2019-12-16

摘要: 针对目前大多数高校图书馆仍旧使用借阅卡、一卡通等传统借阅系统的现状,提出了构建基于云计算的智能人脸识别借阅系统。相比于在本地设备完成计算的人脸识别系统运算慢、存储资源有限等缺点,系统采用具有高性能计算能力和海量存储能力的云平台。通过采集人脸数据,将收集到的人脸信息上传到云平台,云平台采用二值化、光线补偿、灰度变化、对比度增强等方法进行处理后对人脸特征信息进行保存并备份。当扫描待测人脸时,将人脸信息上传至云端与备份信息进行对比识别。测试结果表明; 基于云计算的智能人脸识别借阅系统具有较好的准确性、实时性、稳定性,降低了本地存储负担和成本、较好的满足了用户的智能化借阅需求。

关键词: 云计算, 人脸识别技术, 图书借阅系统

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

中图分类号: 

  • TP3