An optimized neural Network-based character recognition and relation finding for mathematical expression images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17725-4.pdf
Reference35 articles.
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2. Pal A, Singh KP (2022) R-GRU: Regularized gated recurrent unit for handwritten mathematical expression recognition. Multimed Tools Appl 81:31405–31419. https://doi.org/10.1007/s11042-022-12889-x
3. Torres-Muñoz D, Vázquez-Leal H, Hernández-Mejía C (2020) Exploring a novel fusion-scheme based on mathematical equation system for encryption-image algorithm. Multimed Tools Appl 79:24873–24888. https://doi.org/10.1007/s11042-020-09168-y
4. Zhang J, Du J, Dai L (2018) Track, attend, and parse (tap): An end-to-end framework for online handwritten mathematical expression recognition. IEEE Trans Multimed 21(1):221–233. https://doi.org/10.1109/TMM.2018.2844689
5. Truong TN, Nguyen CT, Phan KM, Nakagawa M (2020) Improvement of end-to-end offline handwritten mathematical expression recognition by weakly supervised learning. 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), IEEE https://doi.org/10.1109/ICFHR2020.2020.00042
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