Information extraction from scanned invoice images using text analysis and layout features

Author:

Ha H.T.ORCID,Horák A.ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference44 articles.

1. Future paradigms of automated processing of business documents;Cristani;Int. J. Inf. Manage.,2018

2. Special Report: The True Costs of Paper-Based Invoice Processing and Disbursements;The Institute of Finance and Management (IOFM),2016

3. FUNSD: A dataset for form understanding in noisy scanned documents;Jaume,2019

4. MC-OCR challenge: mobile-captured image document recognition for Vietnamese receipts;Vu,2021

5. “Kleister: Key information extraction datasets involving long documents with complex layouts”;Stanisławek,2021

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1. Text to voice conversion of text embedded in images;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16

2. An Overview of Data Extraction From Invoices;IEEE Access;2024

3. Combining Software Algorithms and Machine Learning in Business Data Processing;IFAC-PapersOnLine;2024

4. A Two-stage Approach for Tables Extraction in Invoices;2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI);2023-11-06

5. A Method for Extracting Sensitive Information from Long Text Based on Natural Language Processing Technology;Proceedings of the 2023 International Conference on Communication Network and Machine Learning;2023-10-27

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