A document image classification system fusing deep and machine learning models
Author:
Funder
Kocaeli Üniversitesi
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04306-5.pdf
Reference57 articles.
1. Mahajan K, Sharma M, Vig L (2019) Character keypoint-based homography estimation in scanned documents for efficient information extraction. In: 2019 international conference on document analysis and recognition workshops (ICDARW), vol 4. IEEE, pp 25–30
2. Menhour H et al (2021) Searchable Turkish OCRed historical newspaper collection 1928–1942. In: Journal of information science. SAGE Publications Sage UK, London, England, p 01655515211000642
3. Eken S, Menhour H, Küksal K (2019) DoCA: a content-based automatic classification system over digital documents. IEEE Access 7:97996–98004
4. Blanke T, Bryant M, Hedges M (2012) Ocropodium: open source OCR for small-scale historical archives. J Inf Sci 38(1):76–86
5. Hua Y et al (2020) Attention-based graph neural network with global context awareness for document understanding. In: China national conference on Chinese computational linguistics, Springer, pp 45–56
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