Ancient Kannada Handwritten Character Recognition from Palm Leaf Manuscripts Using PyTesseract-OCR Technique
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-60725-7_12
Reference15 articles.
1. Bannigidad, P., Gudada, C.: Historical Kannada handwritten character recognition using a machine learning algorithm. In: Abraham, A., et al. (eds.) Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020). Advances in Intelligent Systems and Computing, vol. 1383, pp. 311–319. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-73689-7_30
2. Sagar, B.M., Shobha, G., Kumar, P.R.: Complete Kannada optical character recognition with syntactical analysis of the script. In: The 2008 International Conference on Computing, Communication, and Networking, pp. 1–4. IEEE (2008)
3. Patel, C., Patel, A., Patel, D.: Optical character recognition by the open-source OCR tool tesseract: a case study. Int. J. Comput. Appl. 55(10), 50–56 (2012)
4. Menon, A.S., Sreekumar, R., Nair, B.B.: Character and word level recognition from ancient manuscripts using tesseract. In: the 2023 International Conference on Inventive Computation Technologies (ICICT), pp. 1743–1749. IEEE (2023)
5. Li, Q., An, W., Zhou, A., Ma, L.: Recognition of offline handwritten Chinese characters using the tesseract open-source OCR engine. In: 2016, the 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), vol. 2, pp. 452–456. IEEE (2016)
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