From Detection to Modelling: An End-to-End Paleographic System for Analysing Historical Handwriting Styles
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70442-0_22
Reference14 articles.
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2. Chammas, M., Makhoul, A., Demerjian, J.: Writer identification for historical handwritten documents using a single feature extraction method. In: 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1–6 (2020). https://doi.org/10.1109/ICMLA51294.2020.00010
3. Ciula, A.: Digital palaeography: using the digital representation of medieval script to support palaeographic analysis. Digit. Mediev. 1 (2005). https://journal.digitalmedievalist.org/article/id/6957/
4. Droby, A., Rabaev, I., Shapira, D.V., Kurar Barakat, B., El-Sana, J.: Digital hebrew paleography: Script types and modes. J. Imaging 8(5) (2022). https://doi.org/10.3390/jimaging8050143
5. Lombardi, F., Marinai, S.: Deep learning for historical document analysis and recognition–a survey. J. Imaging 6(10) (2020). https://doi.org/10.3390/jimaging6100110
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