A Novel Approach for Handwritten Digit Recognition Using Multilayer Perceptron Neural Network

Author:

Datsi Toufik,Aznag Khalid,El Oirrak Ahmed

Publisher

Springer International Publishing

Reference22 articles.

1. Nagu, M., Shankar, N.V., Annapurna, K.: A novel method for handwritten digit recognition with neural networks. Int. J. Comp. Sci. Inf. Tech. 2(4), 1685–1692 (2011)

2. Akhlaghi, M., Ghods, V.: Farsi handwritten phone number recognition using deep learning. SN Appl. Sci. 2(3), 1 (2020). https://doi.org/10.1007/s42452-020-2222-5

3. Saabni, R.: Recognizing handwritten single digits and digit strings using deep architecture of neural networks. In: 2016 Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR), pp.1–6. IEEE, September 2016

4. Mars, A., Antoniadis, G.: Arabic online handwriting recognition using neural network. Int. J. Art. Int. App. 7(1), 51–59 (2016)

5. Vats, I., Singh, S.: Offline handwritten English numerals recognition using correlation method. Int. J. Eng. Res Techn. 3(6), 1626–1629 (2014)

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