Marathi Handwritten Character Recognition Using SVM and KNN Classifier

Author:

Chikmurge Diptee,Shriram R.

Publisher

Springer International Publishing

Reference21 articles.

1. Ramteke, S.P., Gurjar, A.A., Deshmukh, D.S.: A streamlined OCR system for handwritten Marathi text document classification and recognition using SVM-ACS algorithm. Int. J. Intell. Eng. Syst. 11(3), 186–195 (2018)

2. Raj, M.A.R., Abirami, S.: A survey on Tamil handwritten character recognition using OCR techniques. In: The Second International Conference on Computer Science, Engineering and Applications (CCSEA), vol. 5, pp. 115–127 (2012)

3. Joshi, N.: Combinational neural network using Gabor filters for the classification of handwritten digits. arXiv preprint arXiv:1709.05867 (2017)

4. Vijaya Kumar Reddy, R., Ravi Babu, U.: Handwritten Hindi character recognition using deep learning techniques. Int. J. Comput. Sci. Eng. 7, 1–7 (2019). https://doi.org/10.26438/ijcse/v7i2.17

5. Hirwani, A., Verma, N., Gonnade, S.: Efficient handwritten alphabet recognition using LBP based feature extraction and nearest neighbor classifier. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 4(11) (2014)

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