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.
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References
Zhang Q (2018) Application of OCR Technology in Invoice Identification. Inform Technol Appl 1(02):18–19
QRcode National standard (GB/T 18284-2000)
Kong B (2016) Application of ZXing barcode scanning technology in mobile digital library. Comput Knowl Technol 12:19
Lu L (2014) Research on barcode technology based on ZXing. Fujian Comput 5:17–18
Bo X (2018) Application of Zxing barcode scanning technology in classroom attendance. China Inform Technol Educ 2018(11)
Gao Y (2016) Research on multi-objective QR code recognition based on ZXing.Net. Modern computer (professional version), vol 6
Hi JY (2013) Barcode recognition based on improved zxing2.0 algorithm. Electron Prod 3
Wang Q (2010) Automatic control system regulation scheme of textile air conditioning. Sci Technol Inform 22:395–396 (in Chinese)
Liu J (2003) Advanced PID control and MATLAB simulation, 2nd edn. Electronics Industry Press, Beijing (in Chinese)
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)
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).
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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
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DOI: https://doi.org/10.1007/978-981-16-4258-6_11
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