A deep learning-based solution for digitization of invoice images with automatic invoice generation and labelling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s10032-023-00449-4.pdf
Reference36 articles.
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2. Rusinol, M., Benkhelfallah, T., Poulain dAndecy, V.: Field extraction from administrative documents by incremental structural templates. In: 2013 12th International Conference on Document Analysis and Recognition, pp. 1100–1104. IEEE (2013)
3. Arslan, H.: End to end invoice processing application based on key fields extraction. IEEE Access 10, 78398–78413 (2022)
4. Singh, P., Varadarajan, S., Singh, A.N., Srivastava, M.M.: Multi-domain document layout understanding using few-shot object detection. In: International Conference on Image Analysis and Recognition, pp. 89–99. Springer (2020)
5. Rodriguez-Cruz, R.P., Avila-Garcia, M.S., Hernandez-Luquin, M.F.: Automatic generation of printed representations of ecuadorian electronic invoices through XML data binding. J. Adv. Inf. Technol. (JAIT) 7(4) (2016). https://doi.org/10.12720/jait.7.4.271-275
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