Study of Classification Algorithms for Handwritten Character Recognition-Reference-Cited by-同舟云学术

Study of Classification Algorithms for Handwritten Character Recognition

Published:2022 Issue: Volume: Page:461-470
ISSN:2194-5357
Container-title:Computational Vision and Bio-Inspired Computing
language:
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Author:

Sanjay Krishna R.,Jaya Suriya E.,Shana J.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-9573-5_34

Reference15 articles.

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2. Salma, S.R., Tito, W.P.: A review of various handwriting recognition methods. Int. J. Appl. Eng. Res. 13(2), 1155–1164. Research India Publications (2018)

3. Mahmoud, M.A.G., Ashraf, Y.M.: A comparative study on handwriting digit recognition using neural networks. In: 2017 International Conference on Promising Electronic Technologies (ICPET), pp. 77–81 (2017)

4. Ali, S., Shaukat, Z., Azeem, M., et al.: An efficient and improved scheme for handwritten digit recognition based on convolutional neural network. SN Appl. Sci. 1, 1125 (2019)

5. Pradeep, J., Srinivasan, E., Himavathi, S.: Neural network based handwritten character recognition system without feature extraction. In: 2011 International Conference on Computer, Communication and Electrical Technology (ICCCET), pp. 40–44 (2011)

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