Skip to main content
SpringerLink
Log in

Multi-information Fusion Based Mobile Attendance Scheme with Face Recognition

  • Conference paper
  • First Online:
Intelligent Computing Theories and Application (ICIC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10955))

Included in the following conference series:

  • 2203 Accesses

Abstract

There are some problems in traditional classroom attendances, such as complex interaction, masquerading, waste of time and information out of sync. A novel class attendance scheme is proposed based on face recognition and the service of location for these problems. The proposed scheme has the functions of face detection, altitude detection and position location, which is better for saving the time of attendance, reducing student impostor, convenient for teachers to check on work attendance and improve the effective feedback of information. Experimental results show the convenience and effectiveness of the proposed scheme.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Jing, W.: The design and realization of image attendance system based on face recognition. Wirel. Internet Technol. 10, 52–53 (2015)

    Google Scholar 

  2. Dong, L., Cui, X., Zhang D., Zhang, H.: A student attendance system based on face recognition technology. J. Daqing Norm. Univ. (03), 15–18 (2014)

    Google Scholar 

  3. Yan, H., Li, C.: Design and implementation of face recognition attendance system. J. Tonghua Norm. Univ. 37(12), 1–3 (2016)

    Google Scholar 

  4. Li, G.: A study based on face recognition enterprise attendance system. Comput. Age (04), 53–55 (2017)

    Google Scholar 

  5. Yong, Z., Jielin, Z., Guizhen, W., Shengnan, Z.: Research and implementation of face recognition system in Android platform. J. Nanjing Inst. Eng. (Nat. Sci.) 01, 53–57 (2013)

    Google Scholar 

  6. Hong, H., Wu, G., Chen F., Chen, Y.: Indoor pedestrian 3D localization algorithm based on smart phone sensor. Sci. Surv. Mapp. (07), 47–52 (2016)

    Google Scholar 

  7. Hua, S., Ci, S., Tao, P.: Research of indoor positioning data analysis and application. Prog. Geogr. 35(05), 580–588 (2016)

    Article  Google Scholar 

  8. Xiaorui, W., Yilin, L.: Design and implementation of mobile campus information push system based on indoor positioning technology. Fujian Comput. 31(03), 5–6 (2015)

    Google Scholar 

  9. Yi, J., Lu, A.: Research on indoor 3D navigation system based on Android platform. Jiangxi Sci. (3), 446–450 (2017)

    Google Scholar 

  10. Yongping, L., Fatu, Z.: Research on the data collection and analysis of college students’ attendance data based on the Android platform. J. Ningde Norm. Univ. (Nat. Sci. Edit.) 28(03), 255–259 (2016)

    Google Scholar 

Download references

Acknowledgement

This research was supported by Shandong Provincial Natural Science Foundation (No. ZR2018LF005), the Scientific Research Fund of Jinan University (No. XKY1711, No. XKY1622, No. XBS1653), Industry-University Cooperative Education Project of Ministry of Education (No. 201601023018) and Teaching Research Project of Jinan University (No. J1638).

Author information

Authors and Affiliations

  1. School of Information Science and Engineering, University of Jinan, Jinan, 250022, Shandong, China

    Likai Dong, Qinlin Li, Tao Xu, Xuesong Sun, Dong Wang & Qingqing Yin

  2. Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, 250022, Shandong, China

    Tao Xu & Dong Wang

Authors
  1. Likai Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Qinlin Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tao Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xuesong Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Dong Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Qingqing Yin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xuesong Sun .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. University of Ulsan, Ulsan, Korea (Republic of)

    Kang-Hyun Jo

  3. Wuhan University of Science and Technology, Wuhan City, China

    Xiao-Long Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Dong, L., Li, Q., Xu, T., Sun, X., Wang, D., Yin, Q. (2018). Multi-information Fusion Based Mobile Attendance Scheme with Face Recognition. In: Huang, DS., Jo, KH., Zhang, XL. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science(), vol 10955. Springer, Cham. https://doi.org/10.1007/978-3-319-95933-7_59

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-95933-7_59

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95932-0

  • Online ISBN: 978-3-319-95933-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation