Skip to main content

Intelligent Invoice Identification Technology Based on Zxing Technology

  • Conference paper
  • First Online:
Innovative Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 791))

Abstract

The traditional financial invoice information needs to be manually input and checked by the accountant. In the face of massive invoices, the traditional manual check method can no longer cope with the current situation. With the development of artificial intelligence (AI), the use of intelligent identification technology, the invoice information for digital image recognition, extraction of information and recorded in the financial accounting system, will greatly improve the efficiency of accounting work flow and information accuracy. In this paper, based on ZXing code technology and OCR identification technology, the invoice intelligent identification technology is studied.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover 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

Similar content being viewed by others

References

  1. Zhang Q (2018) Application of OCR Technology in Invoice Identification. Inform Technol Appl 1(02):18–19

    Google Scholar 

  2. QRcode National standard (GB/T 18284-2000)

    Google Scholar 

  3. Kong B (2016) Application of ZXing barcode scanning technology in mobile digital library. Comput Knowl Technol 12:19

    Google Scholar 

  4. Lu L (2014) Research on barcode technology based on ZXing. Fujian Comput 5:17–18

    Google Scholar 

  5. Bo X (2018) Application of Zxing barcode scanning technology in classroom attendance. China Inform Technol Educ 2018(11)

    Google Scholar 

  6. Gao Y (2016) Research on multi-objective QR code recognition based on ZXing.Net. Modern computer (professional version), vol 6

    Google Scholar 

  7. Hi JY (2013) Barcode recognition based on improved zxing2.0 algorithm. Electron Prod 3

    Google Scholar 

  8. Wang Q (2010) Automatic control system regulation scheme of textile air conditioning. Sci Technol Inform 22:395–396 (in Chinese)

    Google Scholar 

  9. Liu J (2003) Advanced PID control and MATLAB simulation, 2nd edn. Electronics Industry Press, Beijing (in Chinese)

    Google Scholar 

  10. Jianwei Li, Qingchang R (2008) Study on supply air temperature forecast and changing machine dew point for variable air volume system. Build Energy Environ 27(4):29–32 (in Chinese)

    Google Scholar 

Download references

Acknowledgements

This research was supported by the basic scientific research project of Communication University of China, Research of electronic bill management system in colleges (project number: CUC2019B004).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yang Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, Y. (2022). Intelligent Invoice Identification Technology Based on Zxing Technology. In: Hung, J.C., Chang, JW., Pei, Y., Wu, WC. (eds) Innovative Computing . Lecture Notes in Electrical Engineering, vol 791. Springer, Singapore. https://doi.org/10.1007/978-981-16-4258-6_11

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-4258-6_11

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-4257-9

  • Online ISBN: 978-981-16-4258-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics